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AIMS Mathematics
Article . 2022 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
AIMS Mathematics
Article . 2023
Data sources: DOAJ
https://dx.doi.org/10.60692/h6...
Other literature type . 2022
Data sources: Datacite
https://dx.doi.org/10.60692/r9...
Other literature type . 2022
Data sources: Datacite
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Analysis of Einstein aggregation operators based on complex intuitionistic fuzzy sets and their applications in multi-attribute decision-making

تحليل مشغلي التجميع في أينشتاين بناءً على مجموعات غامضة بديهية معقدة وتطبيقاتها في صنع القرار متعدد السمات
Authors: Wajid Azeem; Waqas Mahmood; Tahir Mahmood; Zeeshan Ali; Muhammad Naeem;

Analysis of Einstein aggregation operators based on complex intuitionistic fuzzy sets and their applications in multi-attribute decision-making

Abstract

<abstract><p>The main influence of this analysis is to derive two different types of aggregation operators under the consideration of algebraic <italic>t</italic>-norm and <italic>t</italic>-conorm and Einstein <italic>t</italic>-norm and <italic>t</italic>-conorm for CIF set theory. Because these operators are very effective for evaluating the collection of information into a singleton preference. For this, first, we discover the Algebraic and Einstein operational laws for CIF sets. Then, we aim to discover the theory of CCIFWA, CCIFOWA, CCIFWG, CCIFOWG operators and their valuable properties "idempotency, monotonicity and boundedness" and results. Furthermore, we also derive the theory of CCIFEWA, CCIFEOWA, CCIFEWG, CCIFEOWG operators and their valuable properties "idempotency, monotonicity, and boundedness" and results. Some special cases of the derived work are also described in detail. Finally, we illustrate a MADM procedure under the consideration of derived operators to enhance the worth of the presented information. Finally, we compare the presented operators with various existing operators with the help of various suitable examples for showing the reliability and stability of the derived approaches.</p></abstract>

Keywords

Algebraic number, Intuitionistic Fuzzy Sets, Artificial intelligence, FOS: Political science, Norm (philosophy), Idempotence, Social Sciences, FOS: Law, Multi-Criteria Decision Making, Management Science and Operations Research, Operator (biology), einstein aggregation operators, decision-making methods, Mathematical analysis, Biochemistry, Gene, Preference, Decision Sciences, Multi-Objective Transportation Problem Optimization, Engineering, Singleton, Pregnancy, QA1-939, FOS: Mathematics, Genetics, complex intuitionistic fuzzy sets, Biology, Political science, Algebra over a field, Statistics, Pure mathematics, averaging/geometric aggregation operators, Discrete mathematics, Computer science, Fuzzy logic, Chemistry, Control and Systems Engineering, FOS: Biological sciences, Mathematical physics, Physical Sciences, Repressor, Einstein, Transcription factor, Law, Mathematics, Monotonic function

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
gold