An Uncertain Multiple-Criteria Choice Method on Grounds of T-Spherical Fuzzy Data-Driven Correlation Measures
Volume 33, Issue 4 (2022), pp. 857–899
Pub. online: 28 November 2022
Type: Research Article
Open Access
Open Access
Received
1 January 2022
1 January 2022
Accepted
1 November 2022
1 November 2022
Published
28 November 2022
28 November 2022
Abstract
T-spherical fuzzy (T-SF) sets furnish a constructive and flexible manner to manifest higher-order fuzzy information in realistic decision-making contexts. The objective of this research article is to deliver an original multiple-criteria choice method that utilizes a correlation-focused approach toward computational intelligence in uncertain decision-making activities with T-spherical fuzziness. This study introduces the notion of T-SF data-driven correlation measures that are predicated on two types of the square root function and the maximum function. The purpose of these measures is to exhibit the overall desirability of choice options across all performance criteria using T-SF comprehensive correlation indices within T-SF decision environments. This study executes an application for location selection and demonstrates the effectiveness and suitability of the developed techniques in T-SF uncertain conditions. The comparative analysis and outcomes substantiate the justifiability and the strengths of the propounded methodology in pragmatic situations under T-SF uncertainties.
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Biographies
Wang Jih-Chang
J.-C. Wang holds a bachelor’s degree in computer engineering, a master’s degree in management science, and a PhD in traffic and transportation, National Chiao Tung University, Taiwan. From 1997 to 1998, he was a research fellow in the Energy and Environmental Research Group of National Chiao Tung University. From 1998 to 1999, he was an assistant professor in the Department of Information Management, I-Shou University, Taiwan. From 1999 to the present, he is an assistant professor in the Department of Information Management, Chang Gung University, Taiwan. His current research interests include soft computing, network modelling and analysis, multiple-criteria decision making, and e-commerce.
Chen Ting-Yu
T.-Y. Chen is currently a professor at the Department of Industrial and Business Management and the Graduate Institute of Management of Chang Gung University in Taiwan. She received a bachelor’s degree in transportation engineering and management, a master’s degree in civil engineering, and a PhD in traffic and transportation, Chiao Tung University, Taiwan. She has successively served as a visiting professor in the Institute of Information Science, Academia Sinica, and the Department of Information Management, National Chi Nan University. She used to be an adjunct research fellow in the Department of Nursing and the Division of Cerebrovascular Disease of the Department of Neurology, Linkou Chang Gung Memorial Hospital. Her current research interests include multiple-criteria decision analysis, fuzzy decision making in modelling, and intelligent decision support for management. She is an honorary member of the Phi Tau Phi Scholastic Honor Society of Taiwan.
