Assessment of Risk in Construction Projects by Modified Fuzzy Analytic Hierarchy Process

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1695
Assessment of Risk in Construction Projects by Modified Fuzzy Analytic
Hierarchy Process
C. Sadhana1, S. Shanmugapriya2
1Student M.E.(CEM), Civil Engineering Department, Coimbatore Institute of Technology/Anna University,
Coimbatore, Tamilnadu, India
2Assistant Professor, Civil Engineering Department, Coimbatore Institute of Technology/Anna University,
Coimbatore, Tamilnadu, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Construction industry has significantly changed
over the past years and it is vulnerably subjected to risks
because the construction projects are complexanddynamic in
nature. So, a comprehensive procedure for risk assessment of
construction projects is needed. This paper offers a risk
assessment methodology that acts as a decision support tool,
directed for the Commercial Construction projects. By the
study of the risk registers of commercial constructionprojects,
key risk factors category and their attributes whichaffectsthe
project are identified based on theprojectobjectives. Themain
objective of this study is to provide a riskassessmenttoolusing
the Modified Fuzzy Analytic Hierarchy Process(MFAHP) in
order to overcome the risks. Risk factors are identified by the
study of risk registers of various projects collected from
projects managers of a globalized organization. The
importance of risk assessment and tool is elaborated with the
key risk factors identified.
Key Words: Construction Projects, Risk assessment,
Fuzzy Analytic Hierarchy Process, Risk Factors, Risk
Index
1.INTRODUCTION
In construction industry,intensiveresearchhasbeendonein
the area of project risk management because construction
projects are very complex, where uncertainty comes from
various sources. The complex and strategic nature of
construction projects makes construction industry a risky
business. The construction industry is often considered as a
risky business due to its dynamic and strategic nature. In its
path of advancement, the industry has to overcome a
number of challenges and risks. Unfortunately, the
construction industry has a poor reputation in risk analysis
when compared to other industries. Risk is a multi-facet
concept and Project risk management is the processes
concerned with identifying, analysing, and responding to
project risk [19]. Risk in construction can be handled by
managing, minimizing, sharing, transferring or accepting
them. Moreover, intheconstructionprojects, itwitnesses the
involvement of various parties throughout lifecycle of
project; each of which carryout different perspective.
On the other hand, the severe competition endured by the
construction organizations and the margin of profit set by
organization has always acted as factors to seek better
opportunities not only for organization growth but also its
bare survival within the industry,whereriskscreepsintothe
projects. Hence, risks play a significant role in decision
making and may affect the performance of a project. Several
studies and researches were conducted to assess risk
particularly related to construction projects. Construction
risk analysis, especially at the early stages of the project, is
difficult and cumbersome because the nature of risk is
usually affected by numerous factors including human error
and the information available.
Due to the great uncertainty involved, in many
circumstances of constructionprojects,itmakesit extremely
difficult to assess the risks associated with a project. In
record of construction, industries are very poor in terms of
handling risks, which results in the failure of projects by not
adhering to the planned time schedules, targets of budget
and sometimes even the scope of work. Many risk
assessment techniques currently used in the construction
industry such as Event Tree Analysis, Monte Carlo Analysis,
Fault Tree Analysis, Sensitivity Analysis, Programme
Evaluation and Review Technique are mature [2]. High
quality data required for these techniques are difficult to
obtain, so a new method development is essential to handle
risks. Therefore, analytical methods that rely on historical
information and the experiences ofexpertsandorganization
will be easier and comfortable to assess the risk and so,
these methods reduce the difficulty of data collection by
using the already available data.
In literature, several classifications were proposed for
different construction risk factors and various risk
breakdown structures are available, some factors are found
in more than one group of classification and overlaps are
identified between the risk breakdown structures. Usually,
following the identification of the risk factors a multicriteria
decision making method (MCDM) is used to assess the level
of risk according to the predetermined objectives [5]. The
analytic hierarchy process, and simple multi attributerating
techniques are examples of mathematical tools that are
related to risk assessment in international construction.
With regard to MCDM techniques; even with all numerous
researches that provide models for risk assessment there is

some frequent limitations in the models generated for
utilizing the specified tools [5]. Therefore, it is essential to
develop new risk analysis methods to identify and assess
construction risks in an acceptable way so that the
information is reliably applied to decision making.
2.CONSTRUCTION PROJECT RISK MANAGEMENT
2.1 Definition of Risk
A risk is simply the potential for complications and
problems which is expected to occur with respect to the
completion of a project activities and the achievement of a
project goal. Risk is inherent in all the level of projects, as
such it can never be completely eliminated, butthenitcanbe
effectively managed by providing mitigation measures for
the impacts which is barrier to the achievement of project’s
goals. Other definitions of risk are available in the literature
such as “the exposure to possibility of economic loss or gain,
physical damage or delay” [7], “the probability of losses in a
project which hinders objectives” [13], “uncertain event if
occurs, will have an effect on objectives achievement”, “the
likelihood of a detrimental event occurring to the project”or
“a barrier to success”.
2.2 Project Risk Management
Project risk management is associated with identifying,
analysing, and managing the project risks effectively and
efficiently. On the aspect of risk management process,
recently there have been an extensive research which have
proposed various methods. All of these approaches have
similar models generated with differencesinthe established
steps in order to get the risks under control. Risks,wherever
exist needs to be adequately managed, and the actionstaken
will try to mitigate the impact of risk systematically in a
predefined way. In order to provide effective mitigation, the
risks need to assessed witha perspectiveoftheiruncertainty
basis with the thought of the future event which may
happen.
The term "risk" has become relative to an aspect of daily
life of human being. Somehow, the risks generated can be
related to circumstances, society and business as well.
Though an intense amount of risks is being generated, the
mankind seeks to deal and try to manage it effectively.
Effective risk management proposed by Nieto-Morote
involves four process such as Risk identification, Risk
assessment, Risk response and Risk Monitoring and
reviewing. Risk identification is the process of determining
risks that could potentially prevent the organization or
project from achieving its objectives. Whereas, risk
assessment is the evaluation, and estimation of the levels of
risks involved in a situation, their comparison against
generalized reference values, and calculation of an
acceptable level of risk, for the project. Therefore, risk
assessment holds an important process in the management
of risk.
Project Risk managementwill provetobebeneficial,when
it is implemented in a manner systematically from planning
stage to the completion stage of the project. Risk assessment
plays a major role in achieving the project objectives
irrespective of the characteristics of construction project.
The risks are the uncertainty of future event that should be
controlled systematically through risk management and
analysis methods [25].
The objective of this study is to perform risk assessment
considering the project objectives and propose a risk index
for the attributes which are identified and rank them. To
achieve this objective, a multi criteria decision making tool
called Fuzzy Analytic Hierarchy Process is used. The
potential sources of risk on commercial constructionproject
will be identified by studying the risk registers of various
commercial construction projects of a globalized
organization existing in the local region.
3.MODIFIED FUZZY ANALYTIC HIERARCHY
PROCESS
3.1 Classical AHP
Analytic Hierarchy Process (AHP) is a multi-criteria
decision-making approach and was introduced by Saaty in
the year 1980. Generally, Analytic Hierarchy Process
organizes the basic items of decision making by breaking it
down into problem of smaller constituent elements. This
AHP is carried out by two phases (1) the hierarchy design
and (2) components evaluation within the hierarchy. Basic
simple linguistic variableshavethelimitationsinquantifying
the various risks therefore, some quantification with giving
specific value or scale are used to get over the limitations
[10]. If a variable can take words in natural languages as its
value, it is called a linguistic variable [14]. The AHP consists
of three main operations which includes construction of
hierarchy, priority analysis, and verification of consistency.
First of all, the decision makers need to break down and
make a hierarchy for the multiple criteria decisionproblems
into its component parts of which every possible attribute
are arranged into multiple hierarchical levels. Once the
hierarchy is built, the decision makers methodically assess
its various hierarchical elements by comparingthemto each
other two at a time, with respect to their impact on an
element above them in the hierarchy. After that,thedecision
makers have to compare each cluster in the same level in a
pair-wise fashion based on their own experience and
knowledge.
During the course of comparisons, the decision makers
can solid data about the elements of hierarchy, but they
typically use their judgments about the elements and their
relative importance. The pair wise comparisons for each
level with respect to the goal of the best alternativeselection
are conducted using a nine-point scale. But, since the AHP
method creates and deals with an unbalanced scale of
judgment and human biasedness,itdoesn’ttakeintoaccount
the fuzziness associated with the marking of one's judgment

to a scale. Therefore, conventional AHP seems inadequate to
capture decision maker's requirements explicitly. So, Fuzzy
Sets which is an effective tool to deal with subjective
judgement, and on the Analytic Hierarchy Process (AHP),
which is used to structure a large number of risks [16].
3.2 Why FAHP Instead of AHP?
In the conventional AHP, the pair wise comparisons for
each level is done with respect to the objective of the best
alternative selection and are conducted using a nine-point
scale proposed by Saaty. The application of AHP has some
limitations for the reasons (1) AHP method itself paves way
for the creation of an unbalanced scale of judgment and has
to deal with it, (2) The AHP method not takes into account
the fuzziness associated with the marking of judgment of a
decision maker to a number, (3) Ranking of the AHP method
is imprecise and mainly used for crisp decision applications,
(4) The subjective judgment, selection and preference of
decision makers has great influence on the AHP results
where human biased nature always exists [8].
The AHP is commonly preferred to solve decision making
problems based on pairwise comparison of alternatives.
Experts have to compare each element of hierarchywithany
remaining elements in the hierarchy. Therefore, when the
comparison elements are large, there will behugeamountof
pairwise comparisons involved, andthustheAHPbecomesa
long process that sometimes it irritatesa respondentandthe
inconsistencies may creep into the responses. In order to, to
deal with the inconsistency and large number of
comparisons for applying the AHP, Fuzzy sets are
introduced. Therefore, the conventional Process is not
adequate to capture the needs of decision makers explicitly.
3.3 Fuzzy Analytic Hierarchy Process
The Fuzzy Analytic Hierarchy Process can be viewed as
an advanced method developed from the traditionally
existing AHP. Generally, it is impossible to reflect the
decision maker’s preferences which are uncertain through
very crisp values. There are the several procedures to attain
the priorities in FAHP. Fuzzy theory is introduced to solve
problems involving the absence of sharply defined criteria.
The application of fuzzy theory provides a systematic tool to
deal with data and information which are both qualitative
and quantitative in nature, arising in the construction
process. If fuzziness within decision making of humans are
not taken into account, the results can be misleading.
Fuzzy theory is used to clear the uncertainty of decision
making errors of human, and it has been applied in a variety
of fields. Recently, many risk assessment approaches have
been based on using linguistic assessments instead of
numerical values and the fuzzylinguistic termsemployed for
facilitating the comparisons betweenthesubjectcriteria, has
provided better judgements for the inventory classification
[8]. Using Fuzzy Sets data may bedefinedonvague,linguistic
terms such as low probability, high risk or strongly
important. These terms cannotbedefinedmeaningfullywith
a precise single value, but Fuzzy Sets provides the means to
formally defined it in mathematical logic.
A triangular fuzzy number, a special case of a trapezoidal
fuzzy number, is very effective in fuzzy applications and
were used due to their computational simplicity. The fuzzy
evaluation matrix of the alternatives is constructed by the
pairwise comparison of different factors in their group.
4.IDENTIFICATION OF KEY RISK FACTORS
In order to classify key risk factors in construction, several
risk register documents are analysed and the appropriate
risk based classification of factors category. Risk register
documents relating to commercial construction projects
from globalized organization are collected. A risk register is
a risk log which contains the occurrences of risks entered
with respect to the daily activities. About 10 such
commercial projects risk registers are considered for data
collection. In those risk registers, predominantly identified
type of risks are listed in Table-1. Those listed Risk factors
are then grouped accordingly under separate category, with
the help of experts. The risk factors category which are
identified are Design and Statutory Approvals,
Communication and Vendor Prequalification, Base Building,
Material Handling and Logistics, Resource Management,
Occupational Health and Safety, Construction Execution and
External factors category.
Statutory approvals of a building project come during the
planning stage of construction. It includes the clearances to
be provided as permit to proceed withtheplanneddrawings
and designs to be approved. Design changes are inevitable
during the course of construction projects and theirchanges
mainly have the influence in the time and budget of projects.
Within the Design and Statutory Approvals, the subfactors
identified includes, Delay in statutory approvals, Delay in
finalization of layout plans, Delay in finalization of shop
drawings, Improper drawing review between consultants
and Improper implementation of design and drawing
changes.
Prequalification of vendor is an important task in order to
prioritize the vendors based on their efficiency and
experience. But then, improper prequalification can lead
misleading judgement inthe finalizationofvendors.Thetask
of project management comes into existence during the
construction by executing with proper communication
between all of the vendors of the project which when goes
wrong will lead to problems. With those in mind the
subfactors identified in Communication and Vendor
Prequalification category includes Unclear organization
chart, Delay invendorfinalization,Improperscopeallocation
between vendors and Delay in payment to vendors &
consultants.

Base building of a structure play a very important role, since
they are the primary factor of a construction projects. When
something goes wrong in the account of their construction
the packages proceeding with the construction of the base
building will subjected to problems. Subfactors identified in
Base Building Category includes Deviation from drawings,
Delay in completion and handover, Structural defects and
Need for strengthening of members.
Materials are the primary substance of constructional
activities, so handling them with propercareandplanningof
their usage at proper locations and time intervals will save
from unwanted troubles. Subfactors identified in Material
Handling and Logistics category includes Unplanned
procurement, Storage space constraints, Unclear material
specification, Non-uniformity & Non-availability of material
(at required time) and Damage to property/ material /
Manpower (during movement & installation). Manpower
who handle those materials should be with proper
knowledge about the task to be handled and manage the
work effectively. Subfactors identified in Resource
Management includes Lack of training for workers,
Deployment of low grade vendors, Low productivity of
workers and Lack of labors for specific-work activities.
Occupational Health and safety is the very important
category of all because this factors concerns the safety,
health and welfare of the people at work and proper
deployment of Health and Safety rules will decrease the
work place accidents, injuries, illnesses and death.
Subfactors identified in Occupational Health and Safety
category includes Unsafe working environment, Improper
working condition of tools and equipment and Selection of
material bypassing Occupational Health and Safety.
During the phase of construction execution various sorts of
problems leading to the failure will arise. So, proper
planning to complete the work without any sort of
complication to proceed further will control failures.
Subfactors identified in Construction Execution category
includes Execution not in accordance with GFC / Shop
drawings, Schedule Constraints, Failure during testing,
Identification & rectification of defects during executionand
Improper Change Management. Some of the external driven
factors are generally considered to be those imposed by
government and their new regulations which are enacted
and that hinders the project completion. Such factors
identified are Monsoon changes, Work time constraints
imposed by government and Movement restriction of heavy
vehicles.
Table -1: Risk Factors and its categorization
Category Factors
DESIGN AND STATUTORY
APPROVALS
Delay in statutory approvals
Delay in finalization of layout plans
Delay in finalization of shop drawings
Improper drawing review between
consultants
Improper implementation of design and
drawing changes
COMMUNATION AND
VENDOR PREQUALIFICATION
Unclear organization chart
Delay in vendor finalization
Improper scope allocation between vendors
Delay in payment to vendors & consultants
BASE BUILDING
Deviation from drawings
Delay in completion and handover
Structural defects
Need for strengthening of members
MATERIAL HANDLING AND
LOGISTICS
Unplanned procurement
Storage space constraints
Unclear material specification
Non-uniformity & Non-availability of material
(at required time)
Damage to property/ material / Manpower
(during movement & installation)
RESOURCE MANAGEMENT
Lack of training for workers
Deployment of low grade vendors
Low productivity of workers
Lack of labors for specific-work activities
OCCUPATIONAL HEALTH &
SAFETY
Unsafe working environment
Improper working condition of tools and
equipment
Selection of material bypassing OHS
CONSTRUCTION EXECUTION
Execution not in accordance with GFC / Shop
drawings
Schedule Constraints
Failure during testing
Identification & rectification of defects during
execution
Improper Change Management
EXTERNAL CATEGORY
Monsoon changes
Work time constraints imposed by
government
Movement restriction of heavy vehicles
5. RISK ASSESSMENT
A risk assessment method, based on fuzzy reasoning, is
proposed. The phases in risk assessment includes:

Preliminary phase, Fuzzy inference phase and Risk index &
Ranking of factors as shown in Fig-1. In the Preliminary
Phase of Risk Assessment Classification of factors through
study discussed in the previous section, and subjecting them
to response from experts with a nine point Saaty scale as
shown in Fig-2. Following the preliminary phase in the fuzzy
inference phase the data from survey is fuzzified using the
Triangular fuzzy numbers from the data collected for
individual respondents. During the defuzzification using
Centroid of Area method the TFN are defuzzified.
Fig -1: Risk assessment Method
Fig -2: FAHP Scale for Comparison and its Triangular fuzzy
scale
The risk index and ranking phase follows the normalization
of column procedures to calculate the weightage.Initiallythe
elements are organized in a matrix for each individual for
each category and factors within each category. So, the
pairwise comparison matrix formed are occupied in the
upper triangular portion of matrix with 1 in the diagonal
elements and lower triangular elements can be filled with
their reversal, this matrix is called as Pairwise Comparison
Matrix(PCM).Normalizationisdonebysummingthecolumns
of PCM and dividing the elements of PCM with their
respective column sums.
The weightage of individual elements is calculated with the
average of the rows forming a single column matrix. Using
the eigen value method proposed by Saaty the consistency
can be done with the random index values based on the size
of the matrix of PCM. Using the weightage, the risk index of
factors is calculated by their percentage contribution and
ranked.
7. CONCLUSIONS
Various researches have proved that it is effective to use
Analytic Hierarchy Process for Decision making problems,
but then in order to overcome the lags of AHP, fuzzy
incorporating can reduce the uncertainty in the results.This
study concludes that Modified Fuzzy Analytic Hierarchy
Process proves to be an effective tool for Multi Criteria
Decision making Problems. Nowadays, the risk assessment
in construction projects seems generalized without
narrowing the perspectives for the project type. This study
provided the risk factors for the commercial construction
projects which are in growth currently. This method could
be extended to other similar projects like residential,
industrial and infrastructure projects etc. Also, when the
factors identified for such projects are large in number,
proper hierarchy categorization will make calculations
easier. The methodology can be improved by covering more
multiple attributes and for further development mitigation
measures can be proposed andthe risk indexvaluesafter the
mitigation implementation can be accessed.
REFERENCES
[1] Abel Pinto, Isabel L. Nunes, Rita A. Ribeiro,
“Occupational risk assessment in construction industry
– Overview and reflection”, Safety Science, Vol. 49, pp.
616–624, 2011
[2] Ahmed, A., Kayis, B., Amornsawadwatana, S., 2007. A
review of techniques for risk management in projects.
Benchmarking 14, 22-36.
[3] Alessio Ishizaka, Markus Lusti, “How to derivepriorities
in AHP: a comparative study”, University of Basel, 2004.
[4] Alessio Ishizaka, “Comparison of Fuzzylogic,AHP,FAHP
and Hybrid Fuzzy AHP for new supplierselectionandits
performance analysis”, International Journal of
Integrated Supply Management, Vol. 9, pp. 1-22, 2014.
[5] Amani Suliman Bu-Qammaz, “Risk Assessment of
International Construction Projects Using the Analytic
Network Process”, Middle East Technical University,
2007.
[6] Brunelli, Matteo, “IntroductiontotheAnalyticHierarchy
Process”, Department of Mathematics and Systems
Analysis, Aalto University, 2015.
[7] Chapman, C.B., Ward, S.C., Project risk management:
Processes, Techniques and Insights. Wiley, 1997.
[8] Golam Kabir and M. Ahsan Akhtar Hasin, “Comparative
analysis of AHP and Fuzzy AHP Models for multicriteria
inventory Classification”, International Journal of Fuzzy
Logic Systems, Vol.1, 2011
[9] Hafida L moussaoui and Hicham Jamouli, “A decision
support methodology for assessment of construction
project risks”, International Journal of Applied
Engineering Research, Vol. 11, pp 8743-8753, 2016.
[10] Hyo-Nam Cho, Hyun-Ho Choi, Yoon-Bae Kim, “A risk
assessmentmethodologyforincorporatinguncertainties

using fuzzy concepts”, Reliability Engineering and
System Safety, Vol.78, pp.173–183, 2002.
[11] Jason Michael Woodruff,“Consequenceandlikelihoodin
risk estimation: A matter of balance in UK health and
safety risk assessment practice”, Safety Science, Vol. 43,
pp. 345–353, 2005
[12] Jiahao Zeng, Min An, Nigel John Smith, “Application of a
fuzzy based decision making methodology to
construction project risk assessment”, International
Journal of Project Management, Vol. 25, pp. 589–600,
2007.
[13] Jaafari, A., 2001. Management of risk, uncertainties and
opportunities on projects: time for a fundamental shift.
International Journal ofprojectmanagement19,89-101.
[14] Jiahao Zeng, Min An and Andrew Hin Cheong Chan,”
Fuzzy Reasoning Decision Making Approach Based
Multi-Expert Judgement For Construction Project Risk
Analysis”, Association of Researchers in
[15] Construction Management, Vol. 2, pp. 841-52, 2005.
[16] Nieto-Morote, F. Ruz-Vila, “A fuzzy approach to
construction project risk assessment”, International
Journal of Project Management, 2010
[17] Osman Taylana, Abdallah O. Bafailb, Reda M.S.
Abdulaala, Mohammed R. Kabliaa, “Construction
projects selection and risk assessment by fuzzy AHP
andfuzzy TOPSIS methodologies”, Applied Soft
Computing, Vol. 17, pp. 105–116, 2014.
[18] Patel D. A., K. D. Kikani, K. N. Jha, “Hazard Assessment
Using Consistent Fuzzy PreferenceRelations Approach”,
Journal of Construction Engineering and Management”,
ISSN 0733-9364, 2016.
[19] PMBoK, A guide to the project management body of
knowledge. 2013 Edition. Newtown Square, Project
Management Institute, 2013.
[20] Renuka S. M., C. Umarani, S. Kamal, “A Review onCritical
Risk Factors in the Life Cycle of Construction Projects”,
Journal of Civil Engineering Research,Vol.4(2A),pp.31-
36, 2014.
[21] Remica Aggarwal, and Sanjeet Singh, “AHP and Extent
Fuzzy AHP Approach for Prioritization of Performance
Measurement Attributes”, International Journal of
Mechanical, Aerospace, Industrial, Mechatronic and
Manufacturing Engineering Vol. 7, 2013.
[22] Saaty, T. L., “How to make a decision — The analytic
hierarchy process. European”, Journal of Operational
Research, Vol. 48(1), 9–26, (1990).
[23] Saman Aminbakhsh, Murat Gunduz, Rifat Sonmez,
“Safety risk assessment usinganalytic hierarchyprocess
(AHP) during planning and budgeting of construction
projects”, Journal of Safety Research Vol. 46, pp. 99–
105,2013.
[24] Serhat Aydin, Cengiz Kahraman, “A Modified Fuzzy
Analytic Hierarchy Process Based Multicriteria Decision
makingMethodologyforAssessingE-commerceWebsite
Quality”, Proceedings of the World Congress on
Engineering, Vol. 2, 2011
[25] Surabhi Mishra1, Brajesh Mishra2, “A Study on Risk
Factors Involved in the Construction Projects”,
International Journal of Innovative Research in Science,
Engineering and Technology, Vol. 5, 2016.
[26] Zhipeng Zhou, Yang Miang Goh , Qiming Li, “Overview
and analysis of safety management studies in the
construction industry”, Safety Science, Vol. 72, pp. 337–
350, 2015.

Assessment of Risk in Construction Projects by Modified Fuzzy Analytic Hierarchy Process

More Related Content

What's hot (20)

Similar to Assessment of Risk in Construction Projects by Modified Fuzzy Analytic Hierarchy Process (20)

More from IRJET Journal (20)

Recently uploaded (20)

Assessment of Risk in Construction Projects by Modified Fuzzy Analytic Hierarchy Process