A multi-attribute group decision making method considering both the correlation coefficient and hesitancy degrees under interval-valued intuitionistic fuzzy environment

Peng, You; Liu, Xiaohe; Sun, Jianbo

doi:10.1016/j.asoc.2021.107187

Cited by 29 publications

(5 citation statements)

References 30 publications

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“…GDM is a quite popular topic nowadays [12,13]. Its main purpose is to define methods that are capable of guiding a set of experts in ranking a set of possible actions or elements called alternatives.…”

Section: Group Decision Makingmentioning

confidence: 99%

Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies

Morente-Molinera

Morfeq

Al‐Hmouz

et al. 2023

Applied Soft Computing

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Section: Group Decision Makingmentioning

confidence: 99%

Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies

Morente-Molinera

Morfeq

Al‐Hmouz

et al. 2023

Applied Soft Computing

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“…Due to strong data-inclusive features, IFS and IVIFS have been extended in distinct regions, including bipolar soft sets ( Mahmood, 2020 ), analysis of image quality under measures ( Hassaballah & Ghareeb, 2017 ), decision-making framework ( Gao et al, 2021 ; Zeng, Hu & Llopis-Albert, 2023 ), distance and similarity measures ( Garg & Rani, 2021 ; Peng, Xiaohe & Jianbo, 2021 ), hybrid variable approach ( Liu et al, 2021 ; Xue, Deng & Garg, 2021 ; Zhang et al, 2022 ), construction of shadowed sets ( Yang & Yao, 2021 ), time-series mapping ( Bas, Yolcu & Egrioglu, 2021 ), transportation problem ( Bharati, 2021 ), and combined compromise solution approach ( Alrasheedi et al, 2021 ; Su et al, 2023 ).…”

Section: Literature Reviewmentioning

confidence: 99%

WASPAS method and Aczel-Alsina aggregation operators for managing complex interval-valued intuitionistic fuzzy information and their applications in decision-making

Fang

Mahmood

Ali

et al. 2023

PeerJ Computer Science

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Aczel-Alsina t-norm and t-conorm are a valuable and feasible technique to manage ambiguous and inconsistent information because of their dominant characteristics of broad parameter values. The main theme of this analysis is to explore Aczel-Alsina operational laws in the presence of the complex interval-valued intuitionistic fuzzy (CIVIF) set theory. Furthermore, we derive the theory of aggregation frameworks based on Aczel-Alsina operational laws for managing the theory of CIVIF information. The CIVIF Aczel-Alsina weighted averaging (CIVIFAAWA), CIVIF Aczel-Alsina ordered weighted averaging (CIVIFAAOWA), CIVIF Aczel-Alsina hybrid averaging (CIVIFAAHA), CIVIF Aczel-Alsina weighted geometric (CIVIFAAWG), CIVIF Aczel-Alsina ordered weighted geometric (CIVIFAAOWG) and CIVIF Aczel-Alsina hybrid geometric (CIVIFAAHG) operators are proposed, and their well-known properties and particular cases are also detailly derived. Further, we derive the theory of the WASPAS method for CIVIF information and evaluate their positive and negative aspects. Additionally, we demonstrate the multi-attribute decision-making (MADM) strategy under the invented works. Finally, we express the supremacy and dominancy of the invented methods with the help of sensitive analysis and geometrical shown of the explored works.

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“…This section explores the application of Fuzzy Combinative Multiple Criteria Decision Making Analysis (FC-MCDM) as a Decision Support Model for the Commercial Aircraft Selection problem. The results and implications of the FC-MCDM model are presented and discussed, demonstrating its applicability and effectiveness in the context of Multiple Criteria Decision Making (MCDM) [33][34][35][36][37][38][39][40][41][42][43][44][45][46].…”

Section: Applicationmentioning

confidence: 99%

Commercial Aircraft Selection Decision Support Model Using Fuzzy Combinative Multiple Criteria Decision Making Analysis

Ardil

2023

JSMT

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Multidimensional decision-making issues invariably entail a profusion of factors and dimensions necessitating consideration. In such intricate environments, decision-making can be notably challenging. To navigate this complexity, the realm of multiple criteria decision-making approaches is indispensable, helping in unraveling convoluted predicaments. This paper introduces a novel approach fuzzy combinative multiple criteria decision-making analysis — crafted to address fuzzy decision analysis challenges. At the heart of this method lies the utilization of the Euclidean distance as the primary measure and the rectilinear distance as the secondary measure, both calibrated in accordance with the negative-ideal solution. Determining the desirability of alternatives rests on these distances. Further augmenting the evaluation, the process involves combining the Euclidean and rectilinear distances through fuzzy combinative multiple criteria decision-making analysis. The efficacy and stability of the fuzzy decision analysis are underscored through a numerical example, illustrating the proposed method's procedural nuances. A comparative analysis comparing both Euclidean distance and rectilinear distance with the weighted sum model and the weighted product model is also conducted. This scrutiny underscores the efficiency of the proposed method while affirming the reliability of its outcomes.

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A multi-attribute group decision making method considering both the correlation coefficient and hesitancy degrees under interval-valued intuitionistic fuzzy environment

Cited by 29 publications

References 30 publications

Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies

Introducing disruption on stagnated Group Decision Making processes using Fuzzy Ontologies

WASPAS method and Aczel-Alsina aggregation operators for managing complex interval-valued intuitionistic fuzzy information and their applications in decision-making

Commercial Aircraft Selection Decision Support Model Using Fuzzy Combinative Multiple Criteria Decision Making Analysis

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