Abstract
Mamdani fuzzy inference system has been widely used for potential risk modelling and management. The decision-making is usually provided by multiple experts in the field. The conflicting information in sources from different experts become an open issue and has attracted some researchers to investigate further. Various risk factors in a project caused difficulties for decision makers to make reliable decisions on the whole project since it involves ambiguities, vagueness, and fuzziness. The introduction of the fuzzy inference system to the evaluation of construction risk is capable in explaining its reasoning process and, hence, overcoming such problems. Risk factors under the project management risk were identified through literature sources and from the opinion of experts. It is found that the likelihood and severity of risk is somehow interlinked with the concept of fuzzy theory. For model input and output linguistics variables, the triangular membership function was selected. The methodology employs a fuzzy aggregation system in which an appropriate control action can be determined by the acquisition of expert judgment. A total of 23 rules with logical OR operator, truncation implication, and Mean of Maxima (MoM) method for defuzzification were used to create an effective fuzzy model intended for making decisions. The framework determines the relationship between input and output parameters in if-then rules or mathematical functions using an effective fuzzy arithmetic operator. The study addresses the principle issues of multiexpert opinions based on Mamdani-type decision system and the illustrative example taken from one of medium-sized project held in Malaysia’s construction industry. By comparing with other experimental results, we verify the rationality and reliability of the proposed method.
Highlights
Mamdani fuzzy inference system has been widely used for potential risk modelling and management. e decision-making is usually provided by multiple experts in the field. e conflicting information in sources from different experts become an open issue and has attracted some researchers to investigate further
A total of 23 rules with logical OR operator, truncation implication, and Mean of Maxima (MoM) method for defuzzification were used to create an effective fuzzy model intended for making decisions. e framework determines the relationship between input and output parameters in if- rules or mathematical functions using an effective fuzzy arithmetic operator. e study addresses the principle issues of multiexpert opinions based on Mamdani-type decision system and the illustrative example taken from one of medium-sized project held in Malaysia’s construction industry
As the primary concern of this paper lies on the multiexpert judgment in risk assessment, it is vital to define the correct form of risk analysis
Summary
Numerous methodologies for risk assessment have been proposed in various fields. Risk assessment of the project is, very relevant, and much work has been done for project evaluation. e construction site is usually preoccupied, and the activities of a building development in urban areas are difficult to supervise. E research proposed a quantitative risk assessment (QRA) method of risk management in the urban area sector. E value of the fuzzy model [4] later discussed the ability to convert the input variables, the number of subrisks (NSR) and the total value of subrisks (TVSR), into linguistic variables and evaluation, total value of project risk (TVPR) of the output variable. Using this method, the risk factor and volatility that is often correlated to real programs can be simulated. Based on the literature review, it was observed that there is still a lack of research on decision-making based on expert judgment, especially in the Malaysia construction industry context
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
