Linguistic interval-valued q-rung orthopair fuzzy TOPSIS method for decision making problem with incomplete weight

Khan, Muhammad Numan; Khan, Amir; Khan, Israr Ali; Mashwani, Wali Khan; Hussain, Fawad

doi:10.3233/jifs-200845

Cited by 19 publications

(8 citation statements)

References 31 publications

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“…In [12], Garg proposed the concept of linguistic interval-valued Pythagorean fuzzy sets(LIVPFSs). On this basis, Khan et al [13] further proposed linguistic interval-valued q-rung orthopair fuzzy sets(LIVqROFSs), which is defined as follows.…”

Section: Preliminarymentioning

confidence: 99%

“…Step 2. Based on the given expert weights, apply the proposed LIVqROF operators(Khan et al [13]) to aggregate the LIVqROFVs. We choose the LIVqROFWA operator to aggregate all the decision matrices R k into a collective decision matrix R = (r ij ) m×n , where…”

Section: Assume That Each Decision Maker Gives Their Own Decisionmentioning

confidence: 99%

“…Garg proposed linguistic interval intuitionistic fuzzy set (LIVIFS) and linguistic interval Pythagorean fuzzy set (LIVPFS) in [11] and [12], respectively. Khan [13] established linguistic interval q-Rung orthopair fuzzy set (LIVqROFS).…”

Section: Introductionmentioning

confidence: 99%

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Novel entropy and distance measures of linguistic interval-valued q-Rung orthopair fuzzy sets

Gong

2023

IFS

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Entropy is an important tool to describe the degree of uncertainty of fuzzy sets. In this study, we first define a new entropy and distance measure in the linguistic q-Rung orthopair fuzzy (LIVqROF) environment, and verify its correctness and rationality. Secondly, in the LIVqROF environment, the new entropy formula is effectively applied to the multi-attribute decision making (MADM) with unknown attribute weights, which provides a new idea for solving the MADM problems. Finally, the feasibility and effectiveness of the proposed method are verified by a numerical example.

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Section: Preliminarymentioning

confidence: 99%

Section: Assume That Each Decision Maker Gives Their Own Decisionmentioning

confidence: 99%

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Novel entropy and distance measures of linguistic interval-valued q-Rung orthopair fuzzy sets

Gong

2023

IFS

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“…For two CIFNs L u � 〈〈Υ u , η u 〉, 〈Λ u , λ u 〉〉(u � 1, 2), Alkouri and Salleh [23] defined a relation between them as [33] developed a score and accuracy function in order to compare two CIFNs.…”

Section: Complex Intuitionistic Fuzzy Set and Eir Operationsmentioning

confidence: 99%

“…Khan et al [22] developed a new ranking method for q-Rung Orthopair fuzzy values and proposed a new graphical ranking method based on hesitancy index and entropy. Khan et al [23] introduced a linguistic q-Rung Orthopair fuzzy set and applied the notion to decisionmaking problems. As discussed, that these theories have their own advantages, however, the theory of soft sets introduced by Molodtsov [24] carried out a shovel work as it generalizes all the theories.…”

Section: Introductionmentioning

confidence: 99%

A Decision‐Making Approach for the Evaluation of Information Security Management under Complex Intuitionistic Fuzzy Set Environment

Azam

Khan²,

Yang

2022

Journal of Mathematics

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Since intuitionistic fuzzy set only deals with uncertainty but not periodicity, therefore to overcome, this situation complex intuitionistic fuzzy set is a better tool that deals with both uncertainty and periodicity. Also, Bonferroni mean operator has the advantage of considering interrelationships between parameters, but it deals with only the crisp data. Recently, to deal with fuzzy data, many extensions of Bonferroni operators have been developed. Motivated by the CIFS and BM operators, in this paper, we proposed some Dombi Bonferroni mean operators to deal with CIF information. Dombi Bonferroni mean operators are special cases of general T-conorm and T-norm, which have the advantage of good flexibility with a general parameter. We proposed the complex intuitionistic fuzzy Dombi Bonferroni mean (CIFDBM) operator, complex intuitionistic fuzzy Dombi weighted Bonferroni mean (CIFDWBM) operator, complex intuitionistic fuzzy Dombi geometric Bonferroni mean (CIFDGBM) operator, and complex intuitionistic fuzzy Dombi weighted geometric Bonferroni mean (CIFDWGBM) operator. Some properties of the developed operators are discussed in detail, and different cases are investigated. Moreover, a multicriteria group decision-making (MCGDM) method is developed based on the proposed aggregation operators. Finally, a numerical example of information security management evaluation is given in order to demonstrate the application and effectiveness of the proposed approach. A comparative study is also conducted in order to show the advantage of the developed method.

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Environmental, social, and governance risks and environmentally sensitive competitive strategies: A case study of a multinational logistics company

et al. 2023

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Global climate change continues to have a negative impact on many sectors, particularly supply chains and logistics. Companies are progressively incorporating environmentally friendly practices into their strategies to tackle this global problem. Accordingly, the increase in environmental, social, and governance (ESG) risks has increased the importance of sustainable corporate governance. As a result, companies tend to place more emphasis on ESG initiatives. The study aims to analyze the importance levels of ESG criteria and to select the most ideal environmentally sensitive competitive strategy for multinational logistics companies. For this purpose, a set of criteria and alternatives for the businesses in the context of the related problem was defined, and a decision model was proposed to handle problems, which include uncertain information. In this context, q‐rung orthopair fuzzy (q‐ROF) weighted average technique was used for weighting the criteria and q‐ROF‐evaluation based on distance from average solution (q‐ROF‐EDAS) method was utilized for prioritizing the strategies. As a result, “greenhouse gas emissions” was identified as the most important criterion, while “eco‐efficiency” was selected as the best option for environmentally conscious competitive strategies.

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Linguistic interval-valued q-rung orthopair fuzzy TOPSIS method for decision making problem with incomplete weight

Cited by 19 publications

References 31 publications

Novel entropy and distance measures of linguistic interval-valued q-Rung orthopair fuzzy sets

Novel entropy and distance measures of linguistic interval-valued q-Rung orthopair fuzzy sets

A Decision‐Making Approach for the Evaluation of Information Security Management under Complex Intuitionistic Fuzzy Set Environment

Environmental, social, and governance risks and environmentally sensitive competitive strategies: A case study of a multinational logistics company

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