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Novel fusion strategies for continuous interval-valued q-rung orthopair fuzzy information: a case study in quality assessment of SmartWatch appearance design

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Abstract

The notion of Yager’s q-rung orthopair fuzzy set (QROFS) have gained considerable and continuously increasing attention as a useful tool for imprecision and uncertainty representation due to its capability to discard the constraints on the membership and nonmembership functions as generally required by its intuitionistic fuzzy counterpart. Among the generalizations and variants established in the past few years, the interval-valued QROFSs (IVQROFSs) have been diffusely considered to be a powerful generalization of the interval-valued fuzzy sets. The continuous ordered weighted averaging (COWA) operator has been extended successfully to some special cases of IVQROFSs, including interval-valued intuitionistic and Pythagorean fuzzy sets. Thus, to expand on previous studies, several continuous IVQROF (C-IVQROF) aggregation operators are proposed in this study. First, the dual C-GOWA operator is defined on the basis of the continuous generalized ordered weighted averaging (C-GOWA) operator and Yager class of fuzzy negation. Subsequently, the C-IVQROFOWA operator with two independent parameters is constructed, and the weighted C-IVQROFOWA operator is then proposed for aggregating a collection of IVQROFSs. The C-IVQROFOWA operator and its weighted version can model commendably the attitudinal characteristics of the decision-maker. Second, a parameter optimization model and its algorithm-solving strategy driven by consensus measures are built to develop a group decision-making method. Finally, a case study to evaluate the SmartWatch design alternatives is provided to demonstrate the proposed approach, and the results of a comparative analysis verify the rationality and efficiency of the proposed operators.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant nos. 71801175, 71871171, 71971182, and 72031009), The Ministry of Education of Humanities and Social Science Foundation of China (Grant no. 20YJCZH210), the Natural Science Foundation of Hunan Province, China (Grant no. 2020JJ5112), the Theme-based Research Projects of the Research Grants Council (Grant no. T32-101/15-R), the Spanish Ministry of Economy and Competitiveness through the Spanish National Research Project (Grant no. PGC2018-099402-B-I00) and the postdoctoral fellowship Ramón y Cajal (Grant no. RyC-2017-21978), the Ger/HKJRS project (Grant no. G-CityU103/17), and partly by the City University of Hong Kong SRG (Grant no. 7004969).

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Authors and Affiliations

  1. Institute of Big Data and Internet Innovation, Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Hunan University of Technology and Business, Changsha, 410205, China

    Yi Yang

  2. School of Civil Engineering, Wuhan University, Wuhan, 430072, China

    Zhen-Song Chen

  3. Department of Computer Science, University of Jaén, 23071, Jaén, Spain

    Rosa M. Rodríguez

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. Department of Systems Engineering and Engineering Management, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China

    Kwai-Sang Chin

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  1. Yi Yang
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  2. Zhen-Song Chen
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Correspondence to Zhen-Song Chen.

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Yang, Y., Chen, ZS., Rodríguez, R.M. et al. Novel fusion strategies for continuous interval-valued q-rung orthopair fuzzy information: a case study in quality assessment of SmartWatch appearance design. Int. J. Mach. Learn. & Cyber. 13, 609–632 (2022). https://doi.org/10.1007/s13042-020-01269-2

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