2011
DOI: 10.1061/(asce)co.1943-7862.0000310
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Fuzzy Similarity Consensus Model for Early Alignment of Construction Project Teams on the Extent of Their Roles and Responsibilities

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Cited by 23 publications
(24 citation statements)
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“…It seems to be hard to update the knowledge of the tool, and the assessment appears to heavily rely (but understandably) on the team facilitator. Furthermore, in some circumstances, as there could be disagreements among DMs, a more systematic discussion procedure such as a consensus scheme should be embedded into the tool to mitigate this issue [45]. Future studies may consider these suggestions when developing their decision support tools.…”
Section: Discussionmentioning
confidence: 99%
“…It seems to be hard to update the knowledge of the tool, and the assessment appears to heavily rely (but understandably) on the team facilitator. Furthermore, in some circumstances, as there could be disagreements among DMs, a more systematic discussion procedure such as a consensus scheme should be embedded into the tool to mitigate this issue [45]. Future studies may consider these suggestions when developing their decision support tools.…”
Section: Discussionmentioning
confidence: 99%
“…Most often, infrastructure project teams have difficulty in evaluating environmental risks encountered in their projects, while construction firms depend on expert judgment in assessing these risk factors (Zabaal [9]). According to Elbarkouky and Fayek [10], the two main issues that may affect the decision-making process are "extracting meaningful data from a group of experts, and combining the experts, subject opinions by resolving disagreements." This is the reason why there is a need to develop a framework to aggregate experts' opinions in prioritizing environmental risks that can motivate expert judgment and deal with its relative vagueness and imprecision, linguistically.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Experts recommended the probability of occurrence and level of detection as well as the environmental risk impact groups as per Table 3. The process of constructing the membership functions of the input and output variables determine the supports and the initial non-uniform shapes of the membership functions of the experts, using the modified horizontal approach (Marsh and Fayek [11], Elbarkouky and Fayek [10]). Figure 3 illustrates the final shape of membership function "Probability of Occurrence".…”
Section: Create Fuzzy Linguistic Scalementioning
confidence: 99%
“…According to Herrera and Herrera-Viedma [4], "those individuals (experts or decision-makers) are called on to express their opinions on a predetermined set of alternatives in order to select the best one(s)". Elbarkouky and Fayek [5] defined several elements that may cause expert' judgment to be different, such as academic experience, professional experience, position in their companies, the diversity of such experience, and willingness to provide information or data. Thus, the quality of experts is an essential factor in aggregating their opinions to make sure that their opinions are not flawed (Herrera et al [6]).…”
Section: Introductionmentioning
confidence: 99%
“…Most often, civil project teams have difficulty in evaluating sustainability objectives encountered in their projects, while civil construction firms depend on expert judgment in assessing these sustainability indicators (Zabaal [7]). According to Elbarkouky and Fayek [5], the two main issues that may affect the decisionmaking process are "extracting meaningful data from a group of experts, and combining the experts, subject opinions by resolving disagreements." This is the reason why there is a need to develop a framework to aggregate experts' opinions in prioritizing sustainability indicators that can motivate expert judgment and deal with its relative vagueness and imprecision, linguistically.…”
Section: Introductionmentioning
confidence: 99%