Interval-valued q-rung orthopair fuzzy FMEA application to improve risk evaluation process of tool changing manipulator

Jin, Chuanxi; Ran, Yan; Zhang, Genbao

doi:10.1016/j.asoc.2021.107192

Cited by 46 publications

(23 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, Mishra et al ( 2021a ) suggested an integrated ARAS method to evaluate and prioritize the locations for the EVCS. Jin et al ( 2021 ) gave a collective methodology by combining the maximizing deviation method and the ARAS technique with interval-valued q-ROFSs and applied to evaluate the MCDM problems. In a study, interval type-2 fuzzy information based ARAS model has been introduced to assess the recycling facility problems (Karagöz et al 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

Mishra

Rani

2021

J Ambient Intell Human Comput

View full text Add to dashboard Cite

Section: Literature Reviewmentioning

confidence: 99%

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

Mishra

Rani

2021

J Ambient Intell Human Comput

View full text Add to dashboard Cite

“…Spherical (Akram et al, 2021 ; Ashraf & Abdullah, 2019 ; Gül, 2021 ; Kutlu Gündoğdu & Kahraman, 2019 ; Mahmood et al, 2019 ) and t‐spherical fuzzy sets (Y. Chen et al, 2021 ; Ullah et al, 2020 ), and also neutrosophic sets (Abdel‐Baset et al, 2019 ; P. Liu & Cheng, 2019 ) are good tools for capturing the independent hesitancy data. Also, rather than considering an independent hesitancy value, q‐ROFS versions of the models can be developed in order to expand the representation domain (Garg et al, 2020a ; Jin et al, 2021 ). Finally, novel aggregation operators, entropy, similarity, and distance measures as well as inclusion (subsethood degree) measures can also be defined for FFS.…”

Section: Conclusion and Future Studiesmentioning

confidence: 99%

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

Gül

2021

Expert Systems

View full text Add to dashboard Cite

The multiple attribute decision‐making models are empowered with the support of fuzzy sets such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also neutrosophic sets, etc. These concepts generate varying representation opportunities for the decision‐maker's preferences and expertise. Pythagorean and Fermatean fuzzy sets are special cases of q‐rung orthopair fuzzy set when q = 2 and q = 3, respectively. From a geometric perspective, the latter provides a broader representation domain than the former does. In this study, the emerging concept of Fermatean fuzzy set is studied in detail and three well‐known multi‐attribute evaluation methods, namely SAW, ARAS, and VIKOR are extended under Fermatean fuzzy environment. In this manner, the decision‐makers will have more freedom in specifying their preferences, thoughts, and expertise, and the abovementioned decision approaches will be able to handle this new type of data. The applicability of the propositions is shown in determining the best Covid‐19 testing laboratory which is an important topic of the ongoing global health crisis. To validate the proposed methods, a benchmark analysis covering the results of the existing Fermatean fuzzy set‐based decision methods, namely TOPSIS, WPM, and Yager aggregation operators is presented.

show abstract

“…To quantify the satisfying degrees and nonsatisfying degrees in terms of interval values instead of a single numeric value, IVq-ROFS [21,22] has recently been developed. Jin [23] developed an interval-valued q-rung orthopair fuzzy-additive ratio assessment method. Yang et al [24] investigated fusion strategies of continuous interval-valued q-rung orthopair fuzzy information, Yang and Chang [25] proposed the interval q-rung orthopair fuzzy power Muirhead mean operator.…”

Section: Introductionmentioning

confidence: 99%

Interval-Valued q-Rung Orthopair Fuzzy QUALIFLEX Decision Analysis Method with Dombi Operators

Wan

Zhang

Xiong

et al. 2022

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

As a new and useful decision tool, interval-valued q-rung orthopair fuzzy set (IVq-ROFS), has strong ability to address uncertain or imprecision information in practical decision-making processes. This paper develops a new interval-valued q-rung orthopair fuzzy QUALIFLEX decision analysis method with Dombi operators for handling the group decision-making problems with IVq-ROFSs data. We also conduct a case study on the health management of hypertensive patients for demonstrating the feasibility and superiority of the developed method. The main contributions of this paper are as follows: (1) we first propose interval-valued q-rung orthopair fuzzy Dombi operational laws and investigate their desirable properties; (2) using the developed Dombi operational laws, we develop an interval-valued q-rung orthopair fuzzy Dombi weighted average (IVq-ROFDWA) operator, and we prove that the IVq-ROFDWA operator satisfies the properties of idempotency, commutativity, boundedness, and monotonicity; (3) we introduce the concept of interval-valued q-rung orthopair fuzzy ideal group opinions with the help of IVq-ROFDWA operator and propose a new weight-determining method for identifying the weights of experts; (4) we develop a new interval-valued q-rung orthopair fuzzy distance measure. With the help of the developed distance measure, we calculate interval-valued q-rung orthopair fuzzy concordance/discordance index under each permutation, and then a new interval-valued q-rung orthopair fuzzy QUALIFLEX decision analysis method is developed for addressing the complex multiattribute group decision-making problems with IVq-ROFSs.

show abstract

Interval-valued q-rung orthopair fuzzy FMEA application to improve risk evaluation process of tool changing manipulator

Cited by 46 publications

References 50 publications

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem

Interval-Valued q-Rung Orthopair Fuzzy QUALIFLEX Decision Analysis Method with Dombi Operators

Contact Info

Product

Resources

About