LAUSR: rung orthopair

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Some q‐Rung Orthopai Fuzzy Bonferroni Mean Operators and Their Application to Multi‐Attribute Group Decision Making

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1 Published in 2018 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.21933

Abstract: In the real multi‐attribute group decision making (MAGDM), there will be a mutual relationship between different attributes. As we all know, the Bonferroni mean (BM) operator has the advantage of considering interrelationships between parameters. In… read more here.

Keywords: rung orthopair; orthopair fuzzy; operator; multi attribute ... See more keywords

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New q‐rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making

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0 Published in 2019 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22060

Abstract: The q‐rung orthopair fuzzy sets are superior to intuitionistic fuzzy sets or Pythagorean fuzzy sets in expressing fuzzy and uncertain information. In this paper, some partitioned Bonferroni means (BMs) for q‐rung orthopair fuzzy values have… read more here.

Keywords: rung orthopair; orthopair fuzzy; operator; fuzzy partitioned ... See more keywords

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Research on arithmetic operations over generalized orthopair fuzzy sets

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0 Published in 2019 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22073

Abstract: The four fundamental operations of arithmetic for real (and complex) numbers are well known to everybody and quite often used in our daily life. And they have been extended to classical and generalized fuzzy environments… read more here.

Keywords: arithmetic operations; operations generalized; fuzzy sets; orthopair fuzzy ... See more keywords

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Information measures for q‐rung orthopair fuzzy sets

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1 Published in 2019 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22115

Abstract: The q‐rung orthopair fuzzy set (q‐ROFS), originally developed by Yager, is more capable than that of Pythagorean fuzzy set to deal uncertainty in real life. The main goal of this paper is to investigate the… read more here.

Keywords: similarity measure; information measures; measure; orthopair fuzzy ... See more keywords

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The distance measures between q‐rung orthopair hesitant fuzzy sets and their application in multiple criteria decision making

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1 Published in 2019 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22133

Abstract: In this paper, we first introduce the concept of q‐rung orthopair hesitant fuzzy set ( q ‐ROHFS) and discuss the operational laws between any two q ‐ROHFSs. Then the distance measures between q ‐ROHFSs are… read more here.

Keywords: decision; distance; hesitant fuzzy; orthopair hesitant ... See more keywords

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q‐Rung orthopair uncertain linguistic partitioned Bonferroni mean operators and its application to multiple attribute decision‐making method

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0 Published in 2019 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22158

Abstract: A q‐rung orthopair uncertain linguistic set can be served as an extension of an uncertain linguistic set (ULS) and a q‐rung orthopair fuzzy set, which can also be treated as a generalized form of the… read more here.

Keywords: rung orthopair; orthopair uncertain; bonferroni mean; uncertain linguistic ... See more keywords

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Some q‐rung orthopair uncertain linguistic aggregation operators and their application to multiple attribute group decision making

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0 Published in 2019 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22159

Abstract: q‐Rung orthopair fuzzy sets (q‐ROFSs), originally presented by Yager, are a powerful fuzzy information representation model, which generalize the classical intuitionistic fuzzy sets and Pythagorean fuzzy sets and provide more freedom and choice for decision… read more here.

Keywords: rung orthopair; orthopair uncertain; uncertain linguistic; aggregation operators ... See more keywords

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Some generalized q‐rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws

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0 Published in 2021 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22587

Abstract: The q‐rung orthopair sets (q‐ROFSs) is an extended version of conventional orthopair fuzzy sets, such as intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The most appealing feature of q‐ROFSs is that they provide… read more here.

Keywords: fuzzy einstein; generalized rung; einstein interactive; orthopair fuzzy ... See more keywords

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A study on weighted aggregation operators for q‐rung orthopair m‐polar fuzzy set with utility to multistage decision analysis

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1 Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22847

Abstract: Modeling uncertainties with multipolar information is an important tool in computational intelligence to address complexities in real‐world circumstances. An m‐polar fuzzy set (mPFS) is the strong model to express multipolarity with m $m$ membership grades… read more here.

Keywords: polar fuzzy; fuzzy set; rung orthopair; orthopair polar ... See more keywords

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A new approach to cubic q-rung orthopair fuzzy multiple attribute group decision-making based on power Muirhead mean

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1 Published in 2020 at "Neural Computing and Applications"

DOI: 10.1007/s00521-020-04807-9

Abstract: The q-rung orthopair fuzzy sets (q-ROFSs) have been proved to be an efficient tool in expressing decision makers’ (DMs) evaluation values in multiple attribute group decision-making (MAGDM) procedure. To more effectively represent DMs’ evaluation information… read more here.

Keywords: rung orthopair; decision; orthopair fuzzy; cubic rung ... See more keywords