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Search Results (3)

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Keywords = Q-ROF VIKOR

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22 pages, 2265 KiB  
Article
Q-ROF Fuzzy TOPSIS and VIKOR Methods for the Selection of Sustainable Private Health Insurance Policies
by Babek Erdebilli, Ebru Gecer, İbrahim Yılmaz, Tamer Aksoy, Umit Hacıoglu, Hasan Dinçer and Serhat Yüksel
Sustainability 2023, 15(12), 9229; https://doi.org/10.3390/su15129229 - 7 Jun 2023
Cited by 17 | Viewed by 1949
Abstract
As a result of the inability of people to meet their demands in the face of increasing demands, people tend to have private health insurance in addition to the general health insurance offered as a public service. Due to the increasing trend of [...] Read more.
As a result of the inability of people to meet their demands in the face of increasing demands, people tend to have private health insurance in addition to the general health insurance offered as a public service. Due to the increasing trend of taking out private sustainable health insurance, the number of private sustainable health insurance plans in the health insurance market has increased significantly. Therefore, people may be confronted by a wide range of private health insurance plan options. However, there is limited information about how people analyze private health insurance policies to protect their health in terms of benefit payouts as a result of illness or accident. Thus, the objective of this study is to provide a model to aid people in evaluating various plans and selecting the most appropriate one to provide the best healthcare environment. In this study, a hybrid fuzzy Multiple Criteria Decision Making (MCDM) method is suggested for the selection of health insurance plans. Because of the variety of insurance firms and the uncertainties associated with the various coverages they provide, q-level fuzzy set-based decision-making techniques have been chosen. In this study, the problem of choosing private health insurance was handled by considering a case study of evaluations of five alternative insurance companies made by expert decision makers in line with the determined criteria. After assessments by expert decision makers, policy choices were compared using the Q-Rung Orthopair Fuzzy (Q-ROF) sets Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Q-ROF VIšeKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods. This is one of the first attempts to solve private health policy selection under imprecise information by applying Q-ROF TOPSIS and Q-ROF VIKOR methods. At the end of the case study, the experimental results are evaluated by sensitivity analysis to determine the robustness and reliability of the obtained results. Full article
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<p>Frequency of use of the methods.</p>
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<p>Flowchart of the Q-ROF TOPSIS method.</p>
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<p>Flowchart of the Q-ROF VIKOR method.</p>
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<p>Q-value analysis for Q-ROF TOPSIS.</p>
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<p>Q-value analysis for Q-ROF VIKOR.</p>
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21 pages, 1510 KiB  
Article
Selection of Suppliers for Speech Recognition Products in IT Projects by Combining Techniques with an Integrated Fuzzy MCDM
by Atour Taghipour, Babak Daneshvar Rouyendegh, Aylin Ünal and Sujan Piya
Sustainability 2022, 14(3), 1777; https://doi.org/10.3390/su14031777 - 4 Feb 2022
Cited by 15 | Viewed by 2088
Abstract
In today’s environment, as the complexity of actual events develops, products become increasingly complicated. As a result, companies should collaborate to integrate disparate technologies while developing a product or service. Additionally, collaborating with the right supplier helps a company increase the flexibility, competitiveness, [...] Read more.
In today’s environment, as the complexity of actual events develops, products become increasingly complicated. As a result, companies should collaborate to integrate disparate technologies while developing a product or service. Additionally, collaborating with the right supplier helps a company increase the flexibility, competitiveness, and profitability of its goods or services. The goal of this study is to look into the factors that influence supplier selection for speech recognition. Twelve sub-criteria for quality, affordability, maintenance, and adaptability are used to evaluate prospective providers. Two separate hybrid methodologies for finding the best supplier of an information technology product are presented. intuitionistic Fuzzy Due to the uncertainty of the data, VIKOR operates as the decision-making matrix and solves the issue by determining the ideal alternative for group utility using VIKOR. The second technique, Q-ROF TOPSIS, selects suppliers by utilizing q-rung orthopair fuzzy sets, which provides decision makers with greater expression flexibility than the majority of uncertainty-related strategies. To demonstrate the effectiveness of the recommended measures, a case study is conducted. The outcomes of various strategies are compared, as well as the associated advantages. Full article
(This article belongs to the Special Issue Sustainable Supply Chain and Operations Management)
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<p>Main criteria and Sub Criteria.</p>
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<p>Suggested Methodology.</p>
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<p>First step of VIKOR.</p>
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<p>Comparison of IF-VIKOR and q-ROF TOPSIS methods.</p>
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34 pages, 1131 KiB  
Article
Power Aggregation Operators and VIKOR Methods for Complex q-Rung Orthopair Fuzzy Sets and Their Applications
by Harish Garg, Jeonghwan Gwak, Tahir Mahmood and Zeeshan Ali
Mathematics 2020, 8(4), 538; https://doi.org/10.3390/math8040538 - 5 Apr 2020
Cited by 77 | Viewed by 3764
Abstract
The aim of this paper is to present the novel concept of Complex q-rung orthopair fuzzy set (Cq-ROFS) which is a useful tool to cope with unresolved and complicated information. It is characterized by a complex-valued membership grade and a complex-valued non-membership grade, [...] Read more.
The aim of this paper is to present the novel concept of Complex q-rung orthopair fuzzy set (Cq-ROFS) which is a useful tool to cope with unresolved and complicated information. It is characterized by a complex-valued membership grade and a complex-valued non-membership grade, the distinction of which is that the sum of q-powers of the real parts (imaginary parts) of the membership and non-membership grades is less than or equal to one. To explore the study, we present some basic operational laws, score and accuracy functions and investigate their properties. Further, to aggregate the given information of Cq-ROFS, we present several weighted averaging and geometric power aggregation operators named as complex q-rung orthopair fuzzy (Cq-ROF) power averaging operator, Cq-ROF power geometric operator, Cq-ROF power weighted averaging operator, Cq-ROF power weighted geometric operator, Cq-ROF hybrid averaging operator and Cq-ROF power hybrid geometric operator. Properties and special cases of the proposed approaches are discussed in detail. Moreover, the VIKOR (“VIseKriterijumska Optimizacija I Kompromisno Resenje”) method for Cq-ROFSs is introduced and its aspects discussed. Furthermore, the above mentioned approaches apply to multi-attribute decision-making problems and VIKOR methods, in which experts state their preferences in the Cq-ROF environment to demonstrate the feasibility, reliability and effectiveness of the proposed approaches. Finally, the proposed approach is compared with existing methods through numerical examples. Full article
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<p>Geometrical interpretation of q-rung orthopair fuzzy sets. Here <inline-formula><mml:math id="mm556" display="block"><mml:semantics><mml:mrow><mml:mi>a</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="bold-italic">μ</mml:mi><mml:mo>,</mml:mo><mml:mo> </mml:mo><mml:mi>b</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="bold-italic">η</mml:mi></mml:mrow></mml:semantics></mml:math></inline-formula>.</p>
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