Articles with "orthopair fuzzy" as a keyword



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

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

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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
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Novel Multicriteria Decision Making Approach for Interactive Aggregation Operators of q-Rung Orthopair Fuzzy Soft Set

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3178595

Abstract: The q-rung orthopair fuzzy soft set is an advanced leeway of orthopair fuzzy sets, such as intuitionistic fuzzy soft set (IFSS) and Pythagorean fuzzy soft set (PFSS). The very lax requirement gives the evaluators excessive… read more here.

Keywords: orthopair fuzzy; aggregation operators; rung orthopair; soft set ... See more keywords
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Multi Label Feature Selection Through Dual Hesitant q-Rung Orthopair Fuzzy Dombi Aggregation Operators

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3185765

Abstract: In this article, the feature selection (FS) process is taken as a multi criteria decision making (MCDM) problem. Also, to consider the impreciseness arising in the real time data, the values of the decision matrix… read more here.

Keywords: orthopair fuzzy; aggregation; hesitant rung; rung orthopair ... See more keywords
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Some Einstein Geometric Aggregation Operators for q-Rung Orthopair Fuzzy Soft Set With Their Application in MCDM

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3199071

Abstract: q-rung orthopair fuzzy soft sets (q-ROFSS) is a progressive form for orthopair fuzzy sets. It is also an appropriate extension of intuitionistic fuzzy soft sets (IFSS) and Pythagorean fuzzy soft sets (PFSS). The strict prerequisite… read more here.

Keywords: orthopair fuzzy; rung orthopair; mcdm; soft sets ... See more keywords
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n,m-Rung Orthopair Fuzzy Sets With Applications to Multicriteria Decision Making

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3207184

Abstract: A q-rung orthopair fuzzy set is one of the effective generalizations of fuzzy set for dealing with uncertainties in information. Under this environment, in this study, we define a new type of extensions of fuzzy… read more here.

Keywords: fuzzy set; orthopair fuzzy; rung orthopair; fuzzy sets ... See more keywords
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Extension of Interaction Aggregation Operators for the Analysis of Cryptocurrency Market Under q-Rung Orthopair Fuzzy Hypersoft Set

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3224050

Abstract: One of the substantial innovations achieved through digitalization is cryptocurrencies, also known as simulated or digital currencies, which have been deliberated in the modern era as a new platform particularly suitable for financiers. Several cryptocurrencies,… read more here.

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