Combination of Fuzzy-Weighted Zero-Inconsistency and Fuzzy Decision by Opinion Score Methods in Pythagorean m-Polar Fuzzy Environment: A Case Study of Sign Language Recognition Systems

S. Albahri O.â, A. AlSattar H.â, Salem Garfan, Sarah Qahtan, A. Zaidan A.â (), Ibraheem Y. Y. Ahmaro, H. Alamoodi A.â, B. Zaidan B.â, S. Albahri A.â, Mohammed S. Al-Samarraay, Ali Najm Jasim and J. Baqer M.â
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S. Albahri O.â: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
A. AlSattar H.â: *Department of Business Administration, College of Administrative Science, The University of Mashreq, 10021 Baghdad, Iraq
Salem Garfan: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
Sarah Qahtan: ��Department of Computer Center, Middle Technical University’s, Baghdad, Iraq
A. Zaidan A.â: ��Faculty of Engineering & IT, British University in Dubia, Dubai, United Arab Emirates
Ibraheem Y. Y. Ahmaro: �Computer Science Department, College of Information Technology, Hebron University, Hebron, Palestine
H. Alamoodi A.â: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
B. Zaidan B.â: �Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan
S. Albahri A.â: ��Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq
Mohammed S. Al-Samarraay: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
Ali Najm Jasim: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia
J. Baqer M.â: Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia

International Journal of Information Technology & Decision Making (IJITDM), 2023, vol. 22, issue 04, 1341-1369

Abstract: In the fuzzy multicriteria decision-making approach, a committee of decision-makers is usually involved in the assessment of the suitability of different alternatives based on the evaluation criteria by using linguistic terms and their equivalent fuzzy numbers. In this context, researchers have developed the Pythagorean fuzzy set (PFS) to overcome the limitation of intuitionistic fuzzy set in the description of decision-maker information such as imposing restrictions on the representation of membership and nonmembership grades. On the one hand, PFS still does not have sufficient ability and flexibility to deal with such issues. On the other hand, multipolar technology is used to operate large-scale systems in real-life situations, especially in dealing with dissatisfaction and indeterminacy grades for the alternatives of the reference set. Thus, m-polar fuzzy set is utilized and applied with other fuzzy sets because of its remarkable ability as a tool for depicting fuzziness and uncertainty under multipolar information in many circumstances. With the practical features of m-polar fuzzy set in combination with PFS, this paper employs it to extend two considerable MCDM methods, namely, fuzzy decision by opinion score method and fuzzy-weighted zero inconsistency. Such extensions, called Pythagorean m-polar fuzzy-weighted zero-inconsistency (Pm-PFWZIC) method and Pythagorean m-polar fuzzy decision by opinion score method (Pm-PFDOSM), are formulated to weight the evaluation criteria followed by alternative ranking progressively. The research methodology is presented as follows. Firstly, the mechanisms of Pm-PFWZIC and Pm-PFDOSM are formulated and integrated into the development phase. Secondly, the description of the real-world case study of the evaluation and benchmarking of the sign language recognition systems is adapted and presented. The result of Pm-PFWZIC shows that the criterion of ‘finger movements’ has the highest weight amongst the rest of the criteria, whereas ‘misclassification error’ has the lowest weight. In the ranking results, a variation of ranking is scored by each expert, and group decision-making is applied to solve the individual ranking variety. The robustness of the formulated methods is evaluated using systematic ranking, sensitivity analysis and comparison analysis.

Keywords: Fuzzy multicriteria decision-making; Pythagorean fuzzy set; m-polar fuzzy set; fuzzy-weighted zero inconsistency; fuzzy decision by opinion score method; sign language recognition systems (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0219622022500183

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