Open AccessComprehensive Analysis Method Based on Multi-attribute Fuzzy Granulation in Decision Evaluation
Author(s) -
Zhan Feng,
Fang Zhao
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052106
Subject(s) - analytic hierarchy process , supplier evaluation , computer science , selection (genetic algorithm) , fuzzy logic , process (computing) , supply chain , domain (mathematical analysis) , core (optical fiber) , data mining , supply chain management , operations research , artificial intelligence , mathematics , business , mathematical analysis , telecommunications , marketing , operating system
In order to solve the problem in the process of supplier selection and evaluation, in this paper, granular computing theory was applied to the supplier evaluation and selection with fuzzy algorithm and analytic hierarchy process (AHP) in this paper. By using attribute value discretization algorithm, the application domain is extended to the case where attribute value is quantitative, and the decision analysis method is constructed. This method combined the qualitative and quantitative information to build a comprehensive analysis method. It has constructed a decision analysis method to realize supplier evaluation and selection of multi-attribute group decisions based on concerns, so as to provide enterprises with appropriate suppliers. This paper was applied to the evaluation and selection model of suppliers to verify the accuracy and feasibility of the decision analysis method. The enterprise with appropriate suppliers was provided in this method, which strengthened the enterprise’s position in the supply chain, and then improved the core competitiveness.