Selecting the foremost big data tool to optimize YouTube data in dynamic Fermatean fuzzy knowledge DOI Creative Commons
Dilshad Alghazzawi,

Abdul Razaq,

Hanan Alolaiyan

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(8), С. e0307381 - e0307381

Опубликована: Авг. 23, 2024

Big data pertains to extensive and intricate compilations of information that necessitate the implementation proficient cost-effective evaluation analysis tools derive insights support decision making. The Fermatean fuzzy set theory possesses remarkable capability in capturing imprecision due its capacity accommodate complex ambiguous problem descriptions. This paper presents study concepts dynamic ordered weighted aggregation operators context environment. In numerous practical making scenarios, term "dynamic" frequently denotes obtaining decision-relevant at various time intervals. this study, we introduce two novel operators: averaging geometric operators. We investigate attributes these detail, offering a comprehensive description their salient features. present step-by-step mathematical algorithm for scenarios proposed methodologies. addition, highlight significance approaches by presenting solution determining most effective big analytics platform YouTube analysis. Finally, perform thorough comparative assess effectiveness suggested comparison variety existing techniques.

Язык: Английский

Decision Support System Based on Bipolar Complex Fuzzy Hamy Mean Operators DOI
Abrar Hussain, Nan Zhang, Kifayat Ullah

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0

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

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 65685 - 65705

Опубликована: Янв. 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.

Язык: Английский

Процитировано

0

Intuitionistic fuzzy muirhead means motivated by frank triangular norms DOI
Abrar Hussain, Kifayat Ullah,

Jing Zhang

и другие.

Computational and Applied Mathematics, Год журнала: 2024, Номер 43(6)

Опубликована: Июль 9, 2024

Язык: Английский

Процитировано

0

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

Misbah Hayat,

Umer Shuaib

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 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.

Язык: Английский

Процитировано

0

Selecting the foremost big data tool to optimize YouTube data in dynamic Fermatean fuzzy knowledge DOI Creative Commons
Dilshad Alghazzawi,

Abdul Razaq,

Hanan Alolaiyan

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(8), С. e0307381 - e0307381

Опубликована: Авг. 23, 2024

Big data pertains to extensive and intricate compilations of information that necessitate the implementation proficient cost-effective evaluation analysis tools derive insights support decision making. The Fermatean fuzzy set theory possesses remarkable capability in capturing imprecision due its capacity accommodate complex ambiguous problem descriptions. This paper presents study concepts dynamic ordered weighted aggregation operators context environment. In numerous practical making scenarios, term "dynamic" frequently denotes obtaining decision-relevant at various time intervals. this study, we introduce two novel operators: averaging geometric operators. We investigate attributes these detail, offering a comprehensive description their salient features. present step-by-step mathematical algorithm for scenarios proposed methodologies. addition, highlight significance approaches by presenting solution determining most effective big analytics platform YouTube analysis. Finally, perform thorough comparative assess effectiveness suggested comparison variety existing techniques.

Язык: Английский

Процитировано

0