November 23, 2024
Mojtaba Arab Momeni

Mojtaba Arab Momeni

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Industrial Engineering
Phone: 09130000000
Faculty: Jam Faculty of Engineering

Research

Title The Interactive Weighting Method Concerning Consistency, Inadequacy, Complementary and Supplementary Properties of Criteria
Type Article
Keywords
Journal IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
DOI
Researchers Amirhossein Mostofi (First researcher) , Sameer Kumar (Second researcher) , Vipul Jain (Third researcher) , Charu Chandra (Fourth researcher) , Mojtaba Arab Momeni (Fifth researcher)

Abstract

In most multi-criteria decision-making methods, several options are ranked according to numerous criteria. In the decision-making process, experts often determine the importance weight of the criteria by comparing them to each other or with ideal solutions. With increasing criteria, the decision-making process becomes more complex, and the compatibility of judgments is reduced. Another problem is the inadequacy of criteria at different levels of the decision-making process. A high-level criterion can be considered, which includes several sub-criteria. The sub-criteria considered may not include all of the possible sub-criteria because they could be unknown to decision-makers or could not be measured and used by decision-makers. Hence, the assumption that the importance weight of the sub-criteria equals one (for example, in the analytic hierarchy process method) may not always be accurate. In this article, a new decision-making method is proposed based on Shapley’s value that can extract the importance weight of criteria at different levels by considering the consistency between sub-criteria. Additionally, an interactive top–down decision-making approach is presented for compatible judgments. The proposed method is applied to determine the importance weights of criteria in a sustainable supplier selection problem, and we show how the method could facilitate the extraction of the importance weight and address the inadequacy and dependency properties between the criteria.