A novel method for decision-making approach using multi-fuzzy soft systems with applications in analyzing the ımpact of two distinct drug categories DOI
İbrahim Şanlıbaba, Chiranjibe Jana

Computational and Applied Mathematics, Journal Year: 2024, Volume and Issue: 43(5)

Published: June 20, 2024

Language: Английский

Circular Spherical Fuzzy Sugeno Weber Aggregation Operators: A Novel Uncertain Approach for Adaption a Programming Language for Social Media Platform DOI Creative Commons
Shahzaib Ashraf,

Wania Iqbal,

Shakoor Ahmad

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 124920 - 124941

Published: Jan. 1, 2023

This study's major purpose is to highlight circular spherical fuzzy sets, that happens be a prolongation of sets. The primary this research demonstrate the basic operations and theorems structures (C-SFS), which give an effective way for dealing with data ambiguity. Aggregation operators (AOs) play significant role in decision-making, particularly situations where conflicting interests need taken into account. Sugeno-Weber (SW) t-conorm t-norm are employed C-SFS operating rules. study describes detail fundamental criteria utilizing SW t-norms t-conorms, as well their crucial features. Furthermore, presents fully investigates two novel operators, Sugeno Weber weighted averaging (C-SFSWWA) geometric (C-SFSWWG), distinct applications desired properties. A approach based on C-SFSWWA C-SFSWWG suggested address multiple attribute decision-making (MADM) problems C-SF information. numerical example shows how may used adapt programming language social media platform analytics, followed by comparison its advantages. advised successful, according investigation authenticity study. In reality, recommended aggregation quite useful decision analysis.

Language: Английский

Citations

18

Providing decision-making approaches for the assessment and selection of cloud computing using bipolar complex fuzzy Einstein power aggregation operators DOI
Tahir Mahmood, Ubaid ur Rehman

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 129, P. 107650 - 107650

Published: Jan. 16, 2024

Language: Английский

Citations

5

A hybrid heterogeneous framework for medical waste disposal evaluation by fusing group BWM and regret-rejoice MABAC DOI
Ze-hui Chen,

Deng-feng Wu,

Luo Wen

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123514 - 123514

Published: Feb. 20, 2024

Language: Английский

Citations

5

T-spherical fuzzy interactive Dubois–Prade information aggregation approach for evaluating low-carbon technology impact and environmental mitigation DOI Creative Commons
Toqeer Jameel, Muhammad Riaz, Naveed Yaqoob

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28963 - e28963

Published: April 1, 2024

The concept of T-spherical fuzzy sets (T-SFSs) provides a robust optimization approach to deal with uncertainties in environmental concerns. main objective this paper is introduce hybrid for the power system reforms and advances low-carbon technology address concerns as well transition towards more sustainable energy infrastructure. To meet these objectives, various aggregation operators (AOs) are developed named Dubois-Prade (T-SFDP), interactive weighted average (T-SFIDPWA), ordered (T-SFIDPOWA), geometric (T-SFIDPWG), (T-SFIDPOWG). These AOs integrated construction CRITIC-EDAS framework, facilitating comprehensive assessment ranking proposals. This underscores methodology's efficacy precision through rigorous validation CRITIC-MAUT, CRITIC-ARAS, CRITIC-EDAS, CRITIC-MABAC analyses, showcasing its ability discern prioritize reform initiatives exactitude. Beyond enhancing comprehension proposals, establishes benchmark future evaluations, significantly contributing dynamic landscape optimization. clarity offer decision-makers valuable tool thorough prioritization initiatives, fostering sustainability environmentally conscious advancements.

Language: Английский

Citations

5

Decision-making for supplier selection problems based on QUALIFLEX technique using likelihood method in LIVIFS environment DOI Creative Commons
Chiranjibe Jana,

Afra Siab,

Muhammad Sajjad Ali Khan

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 252, P. 124136 - 124136

Published: May 9, 2024

The notion of linguistic interval-valued intuitionistic fuzzy set (LIVIFS) is one the best tools in order to deal with qualitative decision making problems. Therefore, this paper a (LIVIF) QUALIFLEX method likelihood-based comparison approach proposed. First, likelihood preference relation (FPRs) compare interval valued numbers (LIVIFNs). By employing criterion-wise assessment alternatives through likelihoods, we introduce novel QUALIFLEX-based model. This model aims quantify degree concordance complete for effective management decisions involving multiple criteria. We demonstrate practicality and applicability proposed methods an illustrative example, specifically focusing on context Supplier Selection Problems. To validate efficacy methodology, comparative analysis performed against other existing methods.

Language: Английский

Citations

5

Supplier Selection for Agriculture Industry Under Uncertainty: Machine Learning Based Sample Average Approximation Method DOI
Ömer Faruk Yılmaz, Beren Gürsoy Yılmaz

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 184 - 195

Published: Jan. 1, 2025

Language: Английский

Citations

0

Generalized q-rung picture linguistic Schweizer and Sklar aggregation operators and their application in decision making DOI Creative Commons
Jawad Ali,

Usman Khalid,

Muhammad Ahsan Binyamin

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 3, 2025

The q-rung picture fuzzy sets act as a proficient and extensive extension of orthopair within set theory. parameter q the three real-valued membership functions enable us to perform better than existing approaches in describing mysterious data. Here, we built aggregation operators for q-RPLFS framework using Schweizer Sklar (SS) operations. We introduced analyzed several kinds detail, including linguistic SS weighted averaging operator (q-RPLSSAO) geometric (q-RPLSSGO). solving MADM problems contains t-norms t-conorms, allowing generated make information technique more flexible ones. Additionally, described numerical example support applicability advantages suggested approach. To confirm accuracy feasibility approaches, comparison results with current methods are also provided.

Language: Английский

Citations

0

Impact of Technological Innovation on Employment Under Intuitionistic Fuzzy Einstein Aggregation Information with Z-Numbers DOI
Shahzaib Ashraf, Maria Akram, Chiranjibe Jana

et al.

Studies in systems, decision and control, Journal Year: 2025, Volume and Issue: unknown, P. 177 - 195

Published: Jan. 1, 2025

Language: Английский

Citations

0

Analysis of Renewable Energies Based on Circular Bipolar Complex Intuitionistic Fuzzy Linguistic Information with Frank Power Aggregation Operators and MABAC Model DOI Creative Commons
Zeeshan Ali, Miin‐Shen Yang

International Journal of Computational Intelligence Systems, Journal Year: 2025, Volume and Issue: 18(1)

Published: April 14, 2025

Language: Английский

Citations

0

Stock Market Prediction Based Multi-Attribute Decision Making Model Using Picture Fuzzy $${\hat{Z}}$$-Information DOI Creative Commons
Shahzaib Ashraf,

Amna Khalid,

Bushra Batool

et al.

International Journal of Computational Intelligence Systems, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 9, 2025

As demonstrated in the section above, stock market place is a dynamic factor, which makes it possible for traders and investors to make good decisions based on information acquired through accurate prediction. This research aims at improving prediction of by applying new method Multi-attribute Group Decision making (MAGDM). MAGDM goes cycle evaluating ranking several criteria hence enhancing decision-making aspects further. To overcome shortcomings prior models, some EU FU incorporated combining Zadeh's $${\hat{Z}}$$ -numbers with Picture Fuzzy Sets (PFSs). integration enhance ability model address completely unclear utilizing peculiarities -numbers. compare between decision-makers, we proposed picture fuzzy (PF N) their aggregation, introduced weighted averaging, ordered hybrid geometric, geometric operators algebraic $${\mathfrak {T}}$$ -norm ( {T}}-N$$ ) -conorm {T}}-CNs$$ verify efficiency our suggested technique, these Combined Compromised Solution (CoCoSo) focusing analysis. Our results, therefore, show how are important decision accuracy precision conditions risk. laid down basis dealing uncertainty different fields especially application The methodology can be attributed providing systematic more efficient way one or other has an outcome credibility process financial sector.

Language: Английский

Citations

0