MULTI-CRITERIA DECISION TOOL USING FIS MAMDANI vs FIS TAKAGI-SUGENO-KANG
Autor (i): Daniel-Petru, Ghencea Miron, Zapciu
JEL: A12, C53, C63, D89
Cuvinte cheie: fuzzy logic, FIS Mamdani, FIS Sugeno, competitiveness.
Abstract:
Competitive analysis of the characteristics of an organization using fuzzy logic represents a new approach because it is based on rules that are similar to human thinking. Due to the simplicity of the calculation of datasets uncertain fuzzy logic analysis indicated two ways defuzzification Mamdani FIS and FIS TSK to have a more realistic overview leading to more accurate forecasting. The paper presents the classic calculation and realization of graphs comparing the graphics mode performed with the software Matlab R2011b. The results are based on a comparative analysis between Mamdani FIS and FIS TSK. The purpose of this paper is to show how the practical realization of such an analysis type Multi-Input Single Output - MISO by showing the steps to take and interpretation of results. Type multi-criteria decisions of special interest because it covers a spread spectrum analysis data sets entry through flexibility, which gives robustness in various applications regardless of their field.
Competitive analysis of the characteristics of an organization using fuzzy logic represents a new approach because it is based on rules that are similar to human thinking. Due to the simplicity of the calculation of datasets uncertain fuzzy logic analysis indicated two ways defuzzification Mamdani FIS and FIS TSK to have a more realistic overview leading to more accurate forecasting. The paper presents the classic calculation and realization of graphs comparing the graphics mode performed with the software Matlab R2011b. The results are based on a comparative analysis between Mamdani FIS and FIS TSK. The purpose of this paper is to show how the practical realization of such an analysis type Multi-Input Single Output - MISO by showing the steps to take and interpretation of results. Type multi-criteria decisions of special interest because it covers a spread spectrum analysis data sets entry through flexibility, which gives robustness in various applications regardless of their field.
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