Sustainable building material selection: A QFD- and ELECTRE III-embedded hybrid MCGDM approach with consensus building

Chen, Zhen‐Song; Martínez, Luis; Chang, Jian-Peng; Wang, Xianjia; Xionge, Sheng-Hua; Chin, Kwai‐Sang

doi:10.1016/j.engappai.2019.08.006

Cited by 120 publications

(45 citation statements)

References 86 publications

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“…This issue remains a subject of future study. For more information, readers are referred to the work by Wang et al [68] and Chen et al [69]. Moreover, in this paper, we have considered aggregation operators for linguistic Z-number environment.…”

Section: Resultsmentioning

confidence: 99%

Linguistic Z-number weighted averaging operators and their application to portfolio selection problem

et al. 2020

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Z-numbers can generate a more flexible structure to model the real information because of capturing expert's reliability. Moreover, various semantics can flexibly be reflected by linguistic terms under various circumstances. Thus, this study aims to model the portfolio selection problems based on aggregation operators under linguistic Z-number environment. Therefore, a multi-stage methodology is proposed and linguistic Z-numbers are applied to describe the assessment information. Moreover, the weighted averaging (WA) aggregation operator, the ordered weighted averaging (OWA) aggregation operator and the hybrid weighted averaging (HWA) aggregation operator are developed to fuse the input arguments under the linguistic Z-number environment. Then, using the max-score rule and the scoreaccuracy trade-off rule, three qualitative portfolio models are presented to allocate the optimal assets. These models are suitable for general investors and risky investors. Finally, to illustrate the validity of the proposed qualitative approach, a real case including 20 corporations of Tehran stock exchange market in Iran is provided and the obtained results are analyzed. The results show that combining linguistic Z-numbers with portfolio selection processes can increase the tendencies and capabilities of investors in the capital market and it helps them manage their portfolios efficiently.

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Section: Resultsmentioning

confidence: 99%

Linguistic Z-number weighted averaging operators and their application to portfolio selection problem

et al. 2020

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“…For future research, the defined basic operational laws for PHFLTSs could be used to develop novel aggregation functions, such as those in Ref. [49][50][51], and other MAGDM methods with PHFL information. Development of large-scale group decision-making methods with preference relations, similar to Ref.…”

Section: Discussionmentioning

confidence: 99%

Constructing Novel Operational Laws and Information Measures for Proportional Hesitant Fuzzy Linguistic Term Sets with Extension to PHFL-VIKOR for Group Decision Making

Yang¹,

Li²,

Chin³

2019

IJCIS

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To obtain reliable results in a qualitative multi-attribute group decision-making (MAGDM) problem, how to retain the evaluation information as much as possible and how to determine the reasonable weights of experts and attributes are two important issues. Proportional hesitant fuzzy linguistic term set (PHFLTS) is beneficial for retaining evaluation information as it would consider the linguistic terms and corresponding proportional information simultaneously. However, PHFLTS is a relatively new concept. Some novel manipulations, such as comparison, arithmetic operations, aggregation operators, and cosine similarity and distance measures are defined in this study with the purpose of improving the completeness and applicability of PHFLTS. Furthermore, cosine similarity measure-based weight determination model and entropy measure-based weight determination model under proportional hesitant fuzzy linguistic (PHFL) environment are constructed to derive the objective weights of experts and those of attributes as well. Subsequently, an integrated weighting model is proposed to determine the comprehensive weights of experts and attributes. Based on the defined operational laws for PHFLTS and comprehensive weighting model, two MAGDM methods, PHFL aggregation operator-based method and extended PHFL-VIKOR method, are developed to deal with MAGDM problems with PHFL information. To demonstrate the applicability, efficiency, and advantages of the proposed MAGDM methods, an illustrative example and a comparison example are provided.

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“…Furthermore, the large-scale GDM problems have received more and more attention in the existing literature [55][56][57][58][59]; then, the GDM approach based on HMPRs, in which a large-scale group of decision makers participates in the evaluation process, is also a future research focus. Further endeavors will also be devoted to the incorporation of the attitudinal dimension into HMPRs [18,60,61].…”

Section: Discussionmentioning

confidence: 99%

Revisiting the Role of Hesitant Multiplicative Preference Relations in Group Decision Making With Novel Consistency Improving and Consensus Reaching Processes

Wang¹,

Shuai²,

Chen³

et al. 2019

IJCIS

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In recent years, hesitant multiplicative preference relation (HMPR) has been a powerful means to represent the evaluation information of decision makers during the pairwise comparison concerning alternatives. As the important parts of group decision making (GDM) issues with HMPRs, the consistency improving and consensus reaching processes have been researched by many scholars; however, the existing approaches present several limitations, including defining the consistency index depend on the other HMPR instead of the original HMPR, improving the consistency and consensus levels of HMPRs independently, and that the high computational complexity of the existing iterative algorithms. To overcome these drawbacks, this paper proposes a mathematical programming model to improve the consistency and consensus levels of HMPRs, simultaneously. First, a consistency index according to multiplicative consistency is put forward to compute the consistency degree of normalized HMPR (NHMPR) after the normalization procedure. Second, a programming model by minimizing the difference between the original NHMPR and the revised NHMPR is developed to obtain the acceptably consistent NHMPR; then, a consistency-based method is constructed to solve the decision making problems with an HMPR. Third, considering the GDM issues, a consistency-and consensus-based programming model is established to obtain the acceptably consistent and consensus NHMPRs, in which the original evaluation information can remain as much as possible. Fourth, the normalized hesitant multiplicative weighted geometric operator is introduced to fuse the revised NHMPRs and an algorithm for GDM is proposed with novel consistency improving and consensus reaching processes. Finally, two numerical examples are applied to show the practicality and advantages of the proposed approaches.

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Sustainable building material selection: A QFD- and ELECTRE III-embedded hybrid MCGDM approach with consensus building

Cited by 120 publications

References 86 publications

Linguistic Z-number weighted averaging operators and their application to portfolio selection problem

Linguistic Z-number weighted averaging operators and their application to portfolio selection problem

Constructing Novel Operational Laws and Information Measures for Proportional Hesitant Fuzzy Linguistic Term Sets with Extension to PHFL-VIKOR for Group Decision Making

Revisiting the Role of Hesitant Multiplicative Preference Relations in Group Decision Making With Novel Consistency Improving and Consensus Reaching Processes

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