Abstract
The additive ratio assessment system (ARAS) method is an effective technique for simplifying complex decision problems by determining the optimal alternative through the relative index (utility degree) to the ideal solution. However, there are still some shortcomings in the existing researches on the extension of this method when it is utilized in different decision environments, such as ignoring the correlation relationship between attributes, the lack of flexibility in the utilization of the decision process, and the relative index to the ideal solution may be scaled up or down with the ratio form. In order to overcome these disadvantages, this paper proposes the novel T-spherical fuzzy (TSF) cross entropy (TSFCE) measure and T-spherical Aczel-Alsina Heronian mean (TSFAAHM) aggregation operators and uses them to improve the ARAS method in the TSF environment. For the TSF multiple attribute group decision-making (MAGDM) problems, a group decision making model based on the improved ARAS is designed. In this model, the experts’ weights are obtained by the TSFCE-based similarity measure. The attribute combined weights are calculated by fusing the objective weights obtained by TSFCE-based entropy measure and the subjective weights got by the extended stepwise weight assessment ratio analysis (SWARA) integrated with TSFCE. In the improved ARAS method, the T-spherical Aczel-Alsina Weighted Heronian mean (TSFAAWHM) operator can capture the correlation relationship between the attributes. Compared with the relative index, the TSFCE can reflect the difference between the alternatives and the ideal solution to obtain a more stable solution ranking. Lastly, an illustrative example about the sustainable supplier selection of power battery echelon utilization (PBEU) for a 5G base station is used to demonstrate the proposed method. The effectiveness, practicability and superiority of proposed method are illustrated by parameters influence and methods comparison analysis.
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Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
Abbreviations
- AA:
-
Aczel-Alsina
- AD:
-
Abstinence degree
- AOs:
-
Aggregation operators
- ANP:
-
Analytic Network Process
- ARAS:
-
Additive ratio assessment system
- CoCoSo:
-
Combined Compromise Solution
- COPRAS:
-
Complex Proportional ASsessment
- DMs:
-
Decision-makers
- EDAS:
-
Evaluation based on the Distance from Average Solution
- ELECTRE:
-
Elimination Et Choice Translating Reality
- FDOSM:
-
Fuzzy decision by opinion score method
- FFS:
-
Fermatean fuzzy set
- FS:
-
Fuzzy set
- FWZIC:
-
Fuzzy-weighted zero-inconsistency
- GDSMs:
-
Generalized dice similarity measures
- GS:
-
Grey set
- HFLS:
-
Hesitant fuzzy linguistic set
- HFS:
-
Hesitant fuzzy set
- HM:
-
Heronian mean
- IFS:
-
Intuitionistic fuzzy set
- IRS:
-
Interval rough set
- IT2HFS:
-
Interval type-2 hesitant fuzzy set
- IT2FS:
-
Interval type-2 fuzzy set
- IVIFS:
-
Interval-valued intuitionistic fuzzy set
- MAGDM:
-
Multiple attribute group decision-making
- MARCOS:
-
Measurement of Alternatives and Ranking according to COmpromise Solution
- MD:
-
Membership degree
- MM:
-
Muirhead mean
- MSM:
-
Maclaurin symmetric mean
- MULTIMOORA:
-
Multi-attribute multi-objective optimization with the ratio analysis
- ND:
-
Non-membership degree
- ORESTE:
-
Organization, rangement et Synthèse de donnéesrelarionnelles in French
- PBEU:
-
Power battery echelon utilization
- PFS:
-
Picture fuzzy set
- PHFS:
-
Probabilistic hesitant fuzzy set
- PMVNNWBD:
-
Probability multi-valued neutrosophic normalized weighted Bonferroni distance
- PMVNS:
-
Probability multi-valued neutrosophic set
- PyFS:
-
Pythagorean fuzzy set
- q-ROFS:
-
q-Rung orthopair fuzzy set
- RS:
-
Rough set
- SFS:
-
Spherical fuzzy set
- SVNS:
-
Single-valued neutrosophic set
- SWARA:
-
Stepwise weight assessment ratio analysis
- TN, TCN:
-
t-Norm, t-conorm
- TODIM:
-
Interactive and multi-attribute decision making in Portuguese
- TOPSIS:
-
Technique for order preference by similarity to ideal solution
- TSF:
-
T-spherical fuzzy
- TSFAAHM:
-
T-spherical Aczel-Alsina Heronian mean
- TSFAAWHM:
-
T-spherical Aczel-Alsina Weighted Heronian mean
- TSFCE:
-
T-spherical fuzzy cross entropy
- TSFNs:
-
T-spherical fuzzy numbers
- TSFS:
-
T-spherical fuzzy set
- TSFSJS:
-
T-spherical fuzzy set Jensen-Shannon
- TSFWAI:
-
T-spherical fuzzy weighted averaging interaction
- TSFWGI:
-
T-spherical fuzzy weighted geometric interaction
- UDHLTS:
-
Unbalanced double hierarchy linguistic term set
- VIKOR:
-
VIšekriterijumsko KOmpromisno Rangiranje in Serbian
- WASPAS:
-
Weighted Aggregated Sum Product ASessment
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Acknowledgements
This work is supported by the Humanities and Social Sciences Foundation of Ministry of Education of the People’s Republic of China (Grant No.19YJC630164), the Jiangxi Province University Humanities and Social Sciences Foundation (Grant No. GL23104), the National Natural Science Foundation, China (Grant No.71862025,72361026) and Jiangxi Provincial “Double Thousand Plan” Philosophy and Social Science Leading Talent Project (jxsq2019203008). The authors are also thankful to the Office of Research, Innovation, and Commercialization (ORIC) of Riphah International University Lahore for supporting this research under the project R-ORIC-23/FEAS/CIP-793.
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Appendix
The following symmetric form of T-spherical fuzzy cross-entropy measures SCEi(δ1,δ2) and seven TSF CE measures on TSFNs are all based on the Yang and Pang [17] definitions. Symmetric form of T-spherical fuzzy cross-entropy measures SCEi(δ1,δ2) (i = 1,2,…,8) can be defined as
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Wang, H., Xu, T., Feng, L. et al. An Improved ARAS Approach with T-Spherical Fuzzy Information and Its Application in Multi-attribute Group Decision-Making. Int. J. Fuzzy Syst. (2024). https://doi.org/10.1007/s40815-024-01718-y
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Accepted:
Published:
DOI: https://doi.org/10.1007/s40815-024-01718-y