Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project

Abstract

Presently, environmental management for companies emphasizing environmental protection has become one of the most critical issues for customers, shareholders, governments, employees, competitors, and global pressures requiring organizations to produce environmentally-friendly products and services. This challenge has created a new concept called green supply chain management in business, which combines environmental thinking with the supply chain. Selection of suppliers by considering risk criteria is a category that has attracted the attention of a large number of researchers in order to select the best suppliers according to uncertain factors. In this research, we aim to select a green supplier considering risk factors using a new MCDM approach under uncertainty. For this selection problem, HF-MAIRCA, a new multicriteria sorting method for many alternatives, has been developed. This is used for sorting the alternatives into predefined, ordered supplier categories. This sorting method can be applied to different environmental problems that have a large number of alternatives. As a result of Iran’s case study, the result shows that materials flexibility and materials quality are essential criteria for green supplier selection.

Evaluate teaching quality of physical education using a hybrid multi-criteria decision-making framework

“…In this case, few scholars combined MAIRCA with fuzzy set theory to resolve decision-making issues. For instances, Chatterjee et al [ 30 ] Evaluated the performance of suppliers with a rough MAIRCA technique for green supply chain implementation in electronics industry; Adar and Kilic Delice [ 31 ] modified the MAIRCA model with hesitant fuzzy linguistic term sets; Boral et al [ 32 ] integrated AHP with MAIRCA in a fuzzy environment for fuzzy failure modes and effects analysis; Bagheri et al [ 33 ] identified the uncertainty factors on the constructional project with an extended MAIRCA under hesitant fuzzy circumstances; García Mestanza and Bakhat [ 34 ] presented a fuzzy MAIRCA for evaluating over-tourism; Zhu et al [ 35 ] established an extended MAIRCA model to assess biological inspiration for biologically inspired design in fuzzy rough environments; Ecer [ 36 ] modified the MAIRCA with intuitionistic fuzzy numbers to choose coronavirus vaccine in the age of COVID-19. However, the MAIRCA has neither been extended in a picture fuzzy environment, nor been utilized to deal with teaching quality evaluation issues.…”

The Role Of Smart Transport In Urban Planning And The Transition From Traditional To Smart Cities In Developing Countries With Sustainability Requirements

“…The objective of decision-making is to select the optimal alternative or to assess the choice criteria. Each decision-making approach has a distinct objective: weighting the criteria, ranking the possibilities, and evaluating the criteria, respectively [38][39].…”

“…1) Drawing a hierarchical tree,2) Formulating and determining priorities, 3) Logical consistency of judgments [35][36][37][38][39]. Hierarchical process analysis is widely used in solving many complex decision-making problems.…”

Risk Early-Warning Framework for Government-Invested Construction Project Based on Fuzzy Theory, Improved BPNN, and K-Means

“…ey showed that risk management needs a scientific framework and quantifiable decisionmaking. Bagheri et al [36] and Wang et al [37] applied the MCDM methods in risk management, but the methods are mainly to conduct whitening treatment to the risk black box, which could not fit or reflect the property of risk uncertainty and complexity well. It reminds us that the intricate relationship between influence factors and risk value is feasible to describe, and the nonlinear fitting might be a pretty way to improve the objectiveness of risk early-warning.…”