An Extension of the CODAS Approach Using Interval-Valued Intuitionistic Fuzzy Set for Sustainable Material Selection in Construction Projects with Incomplete Weight Information

Abstract

Optimal selection of sustainable materials in construction projects can benefit several stakeholders in their respective industries with the triple bottom line (TBL) framework in a broader perspective of greater business value. Multiple criteria of social, environmental, and economic aspects should be essentially accounted for the optimal selection of materials involving the significant group of experts to avoid project failures. This paper proposes an evaluation framework for solving multi criteria decision making (MCDM) problems with incomplete weight information by extending the combinative distance assessment (CODAS) method with interval-valued intuitionistic fuzzy numbers. To compute the unknown weights of the evaluation criteria, this paper presents an optimization model based on the interval-valued intuitionistic fuzzy distance measure. In this study, we emphasize the importance of individual decision makers. To illustrate the proposed approach, an example of material selection in automotive parts industry is presented followed by a real case study of brick selection in sustainable building construction projects. The comparative study indicates the advantages of the proposed approach in comparison with the some relevant approaches. A sensitivity analysis of the proposed IVIF-CODAS method has been performed by changing the criteria weights, where the results show a high degree of stability.

A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers

“…Gu et al [42] used interval-valued intuitionistic fuzzy numbers to evaluate the customer satisfaction of a "Door-to-Door" whole-process Firstly, we develop a comprehensive evaluation method using prospect theory, interval-valued intuitionistic fuzzy sets, and improved D numbers for curtain-grouting efficiency assessment. The method combines the strength of interval-valued intuitionistic fuzzy sets defining membership, nonmembership, and hesitancy [31]; the superiority of D numbers in dealing with the incomplete information generated by experts during decision-making [32], and the advantages of prospect theory in considering the bounded rationality of experts [33]. Interval-valued intuitionistic fuzzy sets can express the hesitation of experts; therefore, it is practical to regard grouting-efficiency assessment as an evaluation problem under an intuitionistic fuzzy environment.…”

“…Fortunately, interval intuitionistic fuzzy sets, prospect theory, and D numbers can solve the above problems well. For example, interval-valued intuitionistic fuzzy sets can describe the membership, nonmembership, and hesitancy of the experts [31]; prospect theory can consider the problem of the bounded rationality of the experts [33]; and D numbers can deal with the problem of incomplete information generated by experts during decision-making [32]. Considering that all the grouting-efficiency evaluation indicators are quantitative attributes, this paper proposes a comprehensive evaluation method based on prospect theory and interval-valued intuitionistic fuzzy sets extended by the improved D numbers to make the evaluation results more objective and reasonable.…”

Sustainability Assessment of Intelligent Manufacturing Supported by Digital Twin

“…However, when an expert evaluates the performance of two intelligent manufacturing projects on an indicator, his judgment opinion depends on the personal experience and wisdom of him, so it is unreasonable to express the judgment opinion with accurate numbers. Compared with accurate number, fuzzy number can reflect the internal uncertainty of expert's judgment opinion [27][28][29][30][31]. The commonly used fuzzy numbers include triangular fuzzy numbers and trapezoidal fuzzy numbers.…”

“…To the best of our knowledge, there is no systematic research for the sustainability assessment of intelligent manufacturing project. However, there are enough similar MCDM research which can serve as reference and guidance for this work, for example, an extended Complex Proportional Assessment (COPRAS) model for web-based hotel evaluation and selection [27], an extension of the Combinative Distance-Based Assessment (CODAS) approach using interval-valued intuitionistic fuzzy set for sustainable material selection in construction projects [28], a rough strength relational Decision Making Trial and Evaluation Laboratory (DEMATEL) model for analyzing the key success factors of hospital service quality [29], a rough analytic hierarchy process (AHP) based multi-attributive border approximation area comparison approach for evaluation and selection of medical tourism sites [30], a modification approach of the Best-Worst Method (BWM) and Multi-Attributive Border Approximation Area Comparison (MABAC) method: based on interval-valued fuzzy-rough numbers [31] and a hybrid group MCDM model based on DEMATEL, Analytic Network Process (ANP) and Multi Attributive Ideal-Real Comparative Analysis (MAIRCA) [32]. Wu et al [33] proposed an integrated approach of the interval type-2 fuzzy best-worst and extended VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for green supplier selection.…”

Improved CODAS Method Under Picture 2-Tuple Linguistic Environment and Its Application for a Green Supplier Selection

“…Pamucar et al (2018) presented an original MCDM Pairwise-CODAS method which was the modification of the classical CODAS method. Roy et al (2019) built an assessment framework for addressing MCDM issues by extending CODAS method with interval-valued intuitionistic fuzzy numbers. So far, we have failed to find the work of the CODAS method with P2TLNs in the existing literature.…”