Effectiveness of AI Education from Vitality- An Example of Banking Management in Taiwan

( Vol-10,Issue-7,November - December 2024 )

Author(s): Sung-Yi Hsieh, Hsiao-Chi Ling, Chiao Chao, Ruei-Yuan Wang

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Page No: 01-04
DOI: 10.22161/ijaems.107.1

Keywords:

Banking, AI, Vitality index, Fuzzy synthetic decision (FSD), Fuzzy Delphi method (FDM)

Abstract:

This study analyzes the dimensions of the vitality of development for banking systems. Fuzzy synthetic decisions are used to construct and evaluate a vitality of training, assigning, and development index to offer banks new perspectives and methods of assessment. In this study, we analyze the vitality index for the human resources development of the banking system. Xie et al. (2021) think that with the rapid development and significant successfulness of various deep learning techniques in artificial intelligence (AI), AI has led to a significant evolution in both academic and industrial fields. For the uncertainty, the factor weight for the vitality index will be determined by using the fuzzy Delphi method (FDM). Through the process of fuzzy synthetic decision (FSD), the model calculated the relative importance for each dimension of the mean factor. In this empirical study of commercial banks, the priority ranks for the five dimensions are as follows: Efficiency, Leadership, Business Culture, Talents and Strategy.

Received: 21 Sep 2024; Received in revised form: 22 Oct 2024; Accepted: 29 Oct 2024; Available online: 05 Nov 2024

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