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      A combined intuitionistic fuzzy closeness coefficient and a double normalization-based WISP method to solve the gerontechnology selection problem for aging persons and people with disability

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          Abstract

          <abstract> <p>This study aims to introduce a decision-making framework for prioritizing gerontechnologies (GTs) for aging persons and people with disability under an intuitionistic fuzzy set (IFS) context. First, the intuitionistic fuzzy (IF)-divergence measure and its properties are developed to obtain the criteria weight. Second, a new exponential function-based score function and its properties for the IFS are introduced to order the different IFSs. Third, an IF-relative closeness coefficient (RCC)-based method is proposed to determine the criteria weights. Fourth, the double normalization (DN) procedure-based weighted integrated sum product (WISP) approach is introduced under the IFSs. To demonstrate the applicability and usefulness of the proposed IF-RCC-DN-WISP model, a case study that involves ranking the different GTs for aging persons and people with disability is conducted from an IF perspective. The results of the developed model show that mobility is the most appropriate gerontechnology for aging persons and people with disability. A comparison with different models is also performed to prove the superiority of the obtained results. The comparative study shows how the developed model outperforms the other extant models, as it can offer more sensible outcomes. Therefore, it is more suitable and efficient for expressing uncertain information when treating practical decision-making problems.</p> </abstract>

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          Most cited references51

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          Fuzzy sets

          L.A. Zadeh (1965)
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            Intuitionistic fuzzy sets

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              Intuitionistic Fuzzy Aggregation Operators

              Zeshui Xu (2007)
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                Author and article information

                Journal
                AIMS Mathematics
                MATH
                American Institute of Mathematical Sciences (AIMS)
                2473-6988
                2023
                2023
                : 8
                : 6
                : 13680-13705
                Affiliations
                [1 ]Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh, Saudi Arabia
                [2 ]Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh-522302, India
                [3 ]Department of Mathematics, Government College Raigaon, Satna, Madhya Pradesh 485441, India
                Article
                10.3934/math.2023695
                e34b75ae-cbba-4380-aba2-669077bac315
                © 2023
                History

                Social policy & Welfare,Medicine,Social & Behavioral Sciences,Development studies,Cultural studies

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