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Partitioned Maclaurin symmetric mean operators in bipolar complex fuzzy sets for multiattribute decision making [PDF]

open access: yesScientific Reports
Mathematical tools are crucial for dealing with uncertainty because they provide a rigorous and logical framework for evaluating, measuring, and making decisions in the presence of ambiguous information.
Ubaid ur Rehman   +3 more
doaj   +4 more sources

Bipolar Complex Fuzzy Soft Sets and Their Applications in Decision-Making

open access: yesMathematics, 2022
This article introduces the notion of bipolar complex fuzzy soft set as a generalization of bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary operations for bipolar complex fuzzy soft sets such as complement, union ...
Tahir Mahmood   +4 more
doaj   +2 more sources

Bipolar complex q-rung orthopair fuzzy aggregation operators for enhanced decision-making in uncertain environments [PDF]

open access: yesScientific Reports
Effective decision-making in uncertain and complex environments requires managing multidimensional, conflicting, and partially contradictory information.
Ibtesam Alshammari
doaj   +2 more sources

Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems [PDF]

open access: yesScientific Reports
Circular bipolar complex fuzzy sets are more efficient to cope with awkward and vague data, because it is a modified technique of various existing tools, for instance, fuzzy sets and their extensions, bipolar fuzzy sets and their extensions, and circular
Khumara Ashraf   +5 more
doaj   +2 more sources

Identification and Classification of Aggregation Operators Using Bipolar Complex Fuzzy Settings and Their Application in Decision Support Systems

open access: yesMathematics, 2022
The idea of bipolar complex fuzzy (BCF) sets, as a genuine modification of both bipolar fuzzy sets and complex fuzzy sets, gives a massive valuable framework for representing and evaluating ambiguous information.
Tahir Mahmood   +4 more
doaj   +2 more sources

Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets

open access: yesAlexandria Engineering Journal, 2023
Data clustering is an instrumental tool in the area of energy management resources, marketing, and business. Clustering helps to increase productivity, facilitate decision-making, and generate new business opportunities.
Jeonghwan Gwak, Harish Garg, Naeem Jan
doaj   +2 more sources

Decision-Making by Using TOPSIS Techniques in the Framework of Bipolar Complex Intuitionistic Fuzzy N-Soft Sets

open access: yesIEEE Access, 2023
The major influence of this manuscript is to diagnose the well-recognized and achievable theory of bipolar complex intuitionistic fuzzy N-soft (BCIFN-S) information, which is the generalization of two different theories, bipolar complex intuitionistic ...
Tahir Mahmood   +4 more
doaj   +2 more sources

Dombi aggregation operator in terms of complex bipolar fuzzy sets with application in decision making problems

open access: yesComplex & Intelligent Systems
The complex bipolar fuzzy sets fundamentally expand upon bipolar fuzzy sets and complex fuzzy set, and demonstrate efficacy in dealing with two-dimensional uncertainty, specifically where amplitude and phase information are both relevant.
Naveed Yaqoob   +4 more
doaj   +2 more sources

Bonferroni mean operators based on bipolar complex fuzzy setting and their applications in multi-attribute decision making

open access: yesAIMS Mathematics, 2022
In our daily life we have to make many decisions and sometimes in a single day we met the situations when correct decision is very compulsory to handle some complicated situations.
Tahir Mahmood   +3 more
doaj   +2 more sources

Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators [PDF]

open access: yesScientific Reports
The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute decision-making (MADM) task within healthcare technology. The current selection methods fail to integrate the management of uncertainties with bipolarity
Ubaid ur Rehman   +3 more
doaj   +2 more sources

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