Extended technique for interval-valued intuitionistic fuzzy MAGDM and applications to performance evaluation of intangible assets operation and management in sports events

Author:

Hao Xiaofan1

Affiliation:

1. General Graduate School, Dongshin University, Naju, Jeollanam-do Province, Republic of Korea

Abstract

From a management perspective, performance is the desired outcome of an organization, and it is an effective output that an organization exhibits at different levels to achieve its goals. Sports event performance refers to the results and effects generated by sports events, and is a comprehensive assessment category in sports event management. It refers not only to the concept of economic level, but also to the public satisfaction of sports events and a series of social effects caemployed by them. It focuses not only on the quality and economic value of sports events themselves, but also on the achievements and effects of sports events and society, sports events and citizens, sports events and the environment. The performance evaluation of intangible assets operation and management (IAOM) in sports events is the MAGDM. Recently, the TODIM and TOPSIS technique has been employed to manage MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a useful tool for depicting uncertain information during the performance evaluation of IAOM in sports events. In this paper, the interval-valued intuitionistic fuzzy TODIM-TOPSIS (IVIF-TODIM-TOPSIS) technique is built to manage the MAGDM under IVIFSs. At last, the numerical example for sports events performance evaluation of IAOM is employed to show the IVIF-TODIM-TOPSIS decision technique. The main contribution of this paper is outlined: (1) the TODIM technique based on TOPSIS has been extended to IVIFSs based on information Entropy; (2) the information Entropy technique is employed to derive weight based on core values under IVIFSs. (3) the IVIF-TODIM-TOPSIS technique is founded to manage the MAGDM under IVIFSs; (4) a numerical case study for performance evaluation of IAOM in sports events and some comparative analysis is supplied to validate the proposed technique.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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