Interpolation Functions Of General Type-2 Fuzzy Systems DOI
Shan Zhao, Kaibo Shi

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 13, 2024

Language: Английский

Decision Algorithm for q-Rung Orthopair Fuzzy Information Based on Schweizer-Sklar Aggregation Operators With Applications in Agricultural Systems DOI Creative Commons

Lijun Ma,

Abrar Hussain, Kifayat Ullah

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 25762 - 25778

Published: Jan. 1, 2024

Language: Английский

Citations

3

Decision Support System Based on Bipolar Complex Fuzzy Hamy Mean Operators DOI Creative Commons

Zhuoan Zhao,

Abrar Hussain, Nan Zhang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e36461 - e36461

Published: Aug. 23, 2024

The important feature of the multi-attribute decision-making (MADM) technique is to identify an ideal solution and aggregate collective cognitive fuzzy information human opinion. To serve this purpose, we explore concepts bipolar complex set with positive negative support terms. A few applications Hamy mean (HM) Dual (DHM) models are also discussed find out relationship among input arguments or different preferences. For this, derive a family mathematical approaches by incorporating theory such as (BCFHM), weighted (BCFWHM), (BCFDHM), (BCFWDHM) operators. Derived more applicable can express influence uncertain due involvement additional parameter values. Based on diagnosed research work methodologies, establish decision algorithm for MADM problem resolve real-life dilemmas. An experimental case study demonstrates compatibility derived evaluates investment policy's sustainability based certain parameters. advantages consistency proposed verified in comparative various existing aggregation

Language: Английский

Citations

2

Correlation coefficient of r,s,t-spherical hesitant fuzzy sets and MCDM problems based on clustering algorithm and technique for order preference by similarity to ideal solution method DOI
Şeri̇f Özlü,

Hacı Aktaş

Computational and Applied Mathematics, Journal Year: 2024, Volume and Issue: 43(8)

Published: Oct. 4, 2024

Language: Английский

Citations

2

Decision-Making With Unknown Weights for the Performance of Digital Devices in Healthcare Systems Based on Interval Valued T-Spherical Fuzzy Information DOI Creative Commons
Abrar Hussain, Yu Liu, Kifayat Ullah

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 12, P. 13601 - 13625

Published: Oct. 5, 2023

The multi-attribute group decision-making (MAGDM) problem is used to evaluate suitable options based on specific attributes or characteristics of an object. potential the MAGDM demonstrated in every field life, like artificial intelligence, social and environmental science, networking, medical diagnosis, many other domains. essential components technique are aggregation operators (AOs), which developed by several mathematicians under system different fuzzy In this article, we express notion interval-valued t-spherical (IVT-SF) set (IVT-SFS), expansion intuitionistic picture sets with four human opinions. An IVT-SFS a well-known model that has large capacity deal unpredictable redundant information To mitigate influence information, illustrate some robust operations Aczel Alsina tools light IVT-SF information. Power reduce impact also define correlation among input arguments. By combining two concepts power operators, class new approaches namely weighted average (IVT-SFAAPWA) geometric (IVT-SFAAPWG) operators. order effectiveness proposed approaches, notable properties presented. resolve real-life applications, established algorithm for IVTSF We numerical example appropriate optimal option digital devices healthcare system. advantages consistency derived verified comparing findings existing methodologies currently discussed AOs.

Language: Английский

Citations

4

Selection of safety equipment with choquet integral operators and q-rung orthopair fuzzy information DOI
Abrar Hussain, Nan Zhang,

Kifayat Ullah

et al.

Journal of Intelligent & Fuzzy Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: May 4, 2024

The q-rung orthopair fuzzy set (q-ROFS) is a moderate mathematical model, that has diverse capabilities to handle uncertain and ambiguous information of human opinion during the decision analysis process. Aczel Alsina operations are more flexible valuable aggregating tools with parameter values ϻ ⩾ 1, reflecting smooth accurate by awkward redundant information. theory Choquet integral operator also used express interaction between preferences or criteria incorporating certain preferences. primary features this article derive some dominant approaches combining two different theories like operators namely “q-rung average” (q-ROFCIAAA), geometric” (q-ROFCIAAG) operators. Some special cases notable characteristics demonstrated show feasibility derived approaches. Based on our aggregation approaches, multi-attribute decision-making (MADM) technique aggregates unpredictable In light developed numerical example study evaluate suitable safety equipment in construction sector. To reveal intensity applicability contrasting results prevailing currently AOs.

Language: Английский

Citations

1

Intuitionistic Fuzzy Information Aggregation Based on Sugeno-Weber Triangular Norms DOI
Kifayat Ullah, Abrar Hussain, Shi Yin

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 783 - 791

Published: Jan. 1, 2024

Language: Английский

Citations

1

Decision Algorithm for Interval Valued Intuitionistic Fuzzy Heronian Mean Aggregation Operators Based on Aczel Alsina T-Norm DOI Creative Commons
Nan Zhang, Asad Ali, Abrar Hussain

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 55302 - 55325

Published: Jan. 1, 2024

Multi-Attribute Decision Making (MADM) is a powerful tool for navigating complex decision problems by systematically considering multiple criteria and alternatives. This method widely used in various fields such as business, engineering, finance, public policy, where decisions involve conflicting objectives. An interval-valued intuitionistic fuzzy set more flexible mathematical model to aggregate vague type redundant information into single set. By exploring the robustness of Aczel Alsina aggregation operators, we deduce an effective approach handling ambiguous human opinion. To express relationship among input arguments or attribute information, study feasible theory Hamy mean (HM) operators. article presents some dominant approaches light (IVIF) with operations including IVIF HM (IVIFAAHM), weighted (IVIFAAWHM), Dual (IVIFAADHM) (IVIFAAWDHM) prove validity effectiveness derived approaches, prominent characteristics are also illustrated. A algorithm MADM technique established resolve complicated real-life applications amplifications. With help numerical examples, show compatibility diagnosed approaches. Finally, influence comparison verify consistency pioneered contrasting aggregated outcomes previous operators that exist literature.

Language: Английский

Citations

1

Choquet-Integral Aggregation Operators Based on Hamacher t-Norm and t-Conorm for Complex Intuitionistic Fuzzy TOPSIS Technique to Deal With Socio-Economic Problems DOI Creative Commons

Abdulgawad A. Q. Al-Qubati,

Lemnaouar Zedam, Kifayat Ullah

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 12, P. 3098 - 3113

Published: Dec. 25, 2023

Social and economic factors, such as education, employment, social support, income, community safety, can directly affect how well long we live. Under the presence of above easily look at health decisions, afford medical care housing, manage stress, so on. In this analysis, derive Choquet-integral aggregation operators based on Hamacher t-norm t-conorm for complex Atanassov intuitionistic fuzzy (CAIF) CAIF averaging (CAIFCIHA), ordered (CAIFCIHOA), geometric (CAIFCIHG), (CAIFCIHOG) exposed their properties. Additionally, discover Technique Order Preference by Similarity to Ideal Solution "TOPSIS" technique under consideration above-derived theory. Moreover, it is very famous interesting note that various unpredicted factors road, diesel prices, weather, traffic conditions cost transportation. Therefore, decision-makers deal with vague unreliable information estimate To evaluate problem, select a transportation problem parameters, its evaluation, simple well-known computational derived illustrated. Finally, compared our results some prevailing show worth reliability approaches.

Language: Английский

Citations

2

Decision Algorithm With Interval-Valued Intuitionistic Fuzzy Hamy Mean Aggregation Operators for Assessment of Agricultural Education Practice DOI Creative Commons

Fengshan Xiong,

Waseem Abbas, Abrar Hussain

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 65685 - 65705

Published: Jan. 1, 2024

The assessment of performance in agricultural education practice is an important issue because it concerns the quality and effectiveness education. This evaluation requires effective methods. Interval-valued intuitionistic fuzzy set (IVIFS) a powerful extension sets sets, conceived to handle uncertainty vagueness more effectively practice. A comprehensive exploration interval-valued (IVIF) information offers some flexible methods for article identifies relationship among input arguments with help Hamy mean aggregation models. In order avail smooth approximated results during process, prominent operations Aczel Alsina operators are also adopted light IVIF theory. robustness this develop family new mathematical strategies based on namely (IVIFHM), weighted (IVIFWHM), Dual (IVIFDHM) (IVIFWDHM) operators. Some dominant properties diagnosed discussed show their validity effectiveness. Moreover, decision algorithm multi-attribute decision-making (MAMD) problem reveal versatility adaptability contexts. To showcase practicability derived approaches, case study illustrated. advantages supremacy invented research work verified comparative prevailing that exists literature.

Language: Английский

Citations

0

Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework DOI Creative Commons
Hanan Alolaiyan,

Misbah Hayat,

Umer Shuaib

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 10, 2024

Abstract Bioremediation techniques, which harness the metabolic activities of microorganisms, offer sustainable and environmentally friendly approaches to contaminated soil remediation. These methods involve introduction specialized microbial consortiums facilitate degradation pollutants, contribute restoration, mitigate environmental hazards. When selecting most effective bioremediation technique for decontamination, precise dependable decision-making are critical. This research endeavors tackle aforementioned concern by utilizing tool aggregation operators in framework Linguistic Intuitionistic Fuzzy (LIF) environment. Sets (LIFSs) provide a robust representing managing uncertainties associated with linguistic expressions intuitionistic assessments. Aggregation enrich process efficiently handling intrinsic uncertainties, preferences, priorities MADM problems; as consequence, decisions produced more reliable precise. In this research, we utilize concept devise innovative operators, namely fuzzy Dombi weighted averaging operator (LIFDWA) geometric (LIFDWG). We also demonstrate critical structural properties these operators. Additionally, formulate novel score accuracy functions multiple attribute (MADM) problems within LIF knowledge. Furthermore, develop an algorithm confront complexities ambiguous data solving To underscore efficacy superiority our proposed methodologies, adeptly apply techniques address problem concerning optimal selection decontamination. Moreover, present comparative evaluation delineate authenticity practical applicability recently introduced relative previously formulated techniques.

Language: Английский

Citations

0