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238. Evaluation of Sustainable Performance Based on Linguistic Entropy and TOPSIS Methods

Invited abstract in session TB-44: MCDA applications, stream Multiple Criteria Decision Analysis.

Tuesday, 10:30-12:00
Room: 20 (building: 324)

Authors (first author is the speaker)

1. Chen-Tung Chen
Department of Information Management, National United University, Taiwan
2. Ke-Fang Chen
Department of Information Management, National United University, Taiwan

Abstract

In recent years, sustainable development has become a core issue in enterprise management and value creation. In order to ensure the performance of the implementation of the sustainable development goals, the enterprise must evaluate sustainable performance appropriately. Due to the characteristics of high uncertainty and high complexity, it is an important issue to apply fuzzy sets theory with multiple experts to construct a sustainable performance evaluation model. It can be regarded as a group multiple-criteria decision-making problem. The opinions of experts always are fuzziness and uncertainty, it is reasonable for experts to use the linguistic variables to express their subjective opinions in the evaluation process.
In addition, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) is one of famous methods to deal with the decision-making problems. Therefore, this paper will combine entropy method with TOPSIS based on linguistic variables to construct a systematic evaluation model of sustainable performance. And then, this paper will propose a linguistic entropy TOPSIS algorithm (LE-TOPSIS), which will use entropy method to calculate the weights of criteria and to determine the ranking order of all enterprises by using TOPSIS. Finally, an example will present in accordance with the LE-TOPSIS algorithm to illustrate the effectiveness of the proposed method.

Keywords

Status: accepted

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