Some q-rung orthopair fuzzy maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization

Wei, Guiwu; Wei, Cun; Wang, Jie; Gao, Hui; Wei, Yu

doi:10.1002/int.22042

Cited by 184 publications

(120 citation statements)

References 82 publications

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“…Liu et al and Wei et al presented some diverse q‐ rung orthopair fuzzy Heronian mean operators. Combining the diverse Maclaurin symmetric mean (MSM) operators with q‐ ROFS, the q‐ rung orthopair fuzzy partitioned MSM operators, the q‐ rung orthopair fuzzy power MSM operators, and the q‐ rung orthopair fuzzy MSM operators are presented. Combining the diverse Bonferroni mean (BM) operators with q‐ ROFS, the q‐ Rung orthopai fuzzy BM operators, the q‐ rung orthopair fuzzy partitioned BM operators, and the q‐ rung orthopair fuzzy extended BM operators are derived.…”

Section: Introductionmentioning

confidence: 99%

“…">Decision‐making technologies. In addition to the aggregation operators mentioned above can be used in aggregating the overall preference information. Wang and Li proposed a q‐ rung orthopair fuzzy TODIM method based on the prospect theory for obtaining the ranking result of green suppliers.…”

Section: Introductionmentioning

confidence: 99%

“… The existing aggregation operators employing in MADM have counterintuitive phenomena and low resolution in distinguishing the optimal alternative in real life. It may be untoward or improper for DMs to choose optimal or receivable alternatives.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the second motivation of this paper is to introduce a new score function, which can take the hesitation information into consideration. The existing q‐ rung orthopair fuzzy weighting determine model only consider objective weight or subjective weight …”

Section: Introductionmentioning

confidence: 99%

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Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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With the intensification of global warming trends, the frequent occurrence of natural disasters has brought severe challenges to the sustainable development of society. Emergency decision‐making (EDM) in natural disasters is playing an increasingly important role in improving disaster response capacity. In the case of EDM evaluation, the essential problem arises serious incompleteness, impreciseness, subjectivity, and incertitude. The q‐rung orthopair fuzzy set (q‐ROFS), disposing the indeterminacy portrayed by membership and nonmembership with the sum of qth power of them, is a more viable and effective means to seize indeterminacy. The aim of paper is to present a new score function of q‐rung orthopair fuzzy number (q‐ROFN) for solving the failure problems when comparing two q‐ROFNs. Firstly, we introduce some basic set operations for q‐ROFS. The properties of these operations are also discussed in detail. Later, we propose a q‐rung orthopair fuzzy decision‐making method based on weighted distance‐based approximation (WDBA), in which the weights of decision‐makers are obtained from a nonliner optimization model according to the deviation‐based method. Finally, some examples are investigated to illustrate the feasibility and validity of the proposed approach. The salient features of the proposed method, compared to the existing q‐rung orthopair fuzzy decision‐making methods, are as follows: (a) it can obtain the optimal alternative without counterintuitive phenomena and (b) it has a great power in distinguishing the optimal alternative.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

2019

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“…Liu and Wang proposed the q‐ rung orthopair fuzzy weighted averaging operator and the q‐ rung orthopair fuzzy weighted geometric operator to deal with MADM problems. Wei et al extend the MSM operator and dual MSM operator to q ‐ROFS to propose the q‐ rung orthopair fuzzy MSM operator, q‐ rung orthopair fuzzy dual MSM operator, q‐ rung orthopair fuzzy weighted MSM operator, and q‐ rung orthopair fuzzy weighted dual MSM operator. Liu and Liu proposed the q‐ rung orthopair fuzzy BM ( q‐ ROFBM) operator, the q‐ rung orthopair fuzzy weighted BM ( q‐ ROFWBM) operator, the q‐ rung orthopair fuzzy geometric BM ( q‐ ROFGBM) operator, and the q‐ rung orthopair fuzzy weighted geometric BM ( q‐ ROFWGBM) operator.…”

Section: Introductionmentioning

confidence: 99%

Some q ‐rung orthopair fuzzy Hamy mean operators in multiple attribute decision‐making and their application to enterprise resource planning systems selection

Wang

Wei

et al. 2019

Int J Intell Syst

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In this paper, the Hamy mean (HM) operator, weighted HM (WHM), dual HM (DHM) operator, and dual WHM (WDHM) operator under the q‐rung orthopair fuzzy sets (q‐ROFSs) is studied to propose the q‐rung orthopair fuzzy HM (q‐ROFHM) operator, q‐rung orthopair fuzzy WHM (q‐ROFWHM) operator, q‐rung orthopair fuzzy DHM (q‐ROFDHM) operator, and q‐rung orthopair fuzzy weighted DHM (q‐ROFWDHM) operator and some of their desirable properties are investigated in detail. Then, we apply these operators to multiple attribute decision‐making problems. Finally, a practical example for enterprise resource planning system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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The generalized Dice similarity measures for Pythagorean fuzzy multiple attribute group decision making

2019

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The Pythagorean fuzzy set (PFS) is characterized by two functions expressing the degree of membership and the degree of nonmembership, which square sum of them is equal or less than 1. It was proposed as a generalization of a fuzzy set to deal with indeterminate and inconsistent information. In this study, we shall present some novel Dice similarity measures of PFSs and the generalized Dice similarity measures of PFSs and indicates that the Dice similarity measures and asymmetric measures (projection measures) are the special cases of the generalized Dice similarity measures in some parameter values. Then, we propose the generalized Dice similarity measures‐based multiple attribute group decision‐making models with Pythagorean fuzzy information. Then, we apply the generalized Dice similarity measures between PFSs to multiple attribute group decision making. Finally, an illustrative example is given to demonstrate the efficiency of the similarity measures for selecting the desirable ERP system.

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Some q-rung orthopair fuzzy maclaurin symmetric mean operators and their applications to potential evaluation of emerging technology commercialization

Cited by 184 publications

References 82 publications

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Generalized orthopair fuzzy weighted distance‐based approximation (WDBA) algorithm in emergency decision‐making

Some q ‐rung orthopair fuzzy Hamy mean operators in multiple attribute decision‐making and their application to enterprise resource planning systems selection

The generalized Dice similarity measures for Pythagorean fuzzy multiple attribute group decision making

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