Open AccessAnalysis of Fuzzy AHP-TOPSIS Methods in Multi Criteria Decision Making: Literature Review
Author(s) -
Aulia Ishak,
Wanli
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/1003/1/012147
Subject(s) - topsis , multiple criteria decision analysis , ideal solution , analytic hierarchy process , ambiguity , computer science , fuzzy logic , operations research , management science , mathematics , artificial intelligence , engineering , physics , thermodynamics , programming language
With the development of technology and times, we have faced various alternative problems. The problem of making decisions is one of the problems that is often encountered in everyday life. In the matter of decision-making, there are several methods that can be used, one of which is Multi-Criteria Decision Making (MCDM). MCDM is a method to make decision based on theory, process and analytical methods that involved uncertainty, dynamics and various aspects of criteria. This journal will discuss the use of one of the MCDM methods, namely Fuzzy AHP-TOPSIS. Basically, AHP breaks down unstructured situations into its components and organize these components or variables in a hierarchical order and assign a scientific value as a subjective assessment of the proportionate significance of each variable. Fuzzy theory is used to represent ambiguity, inaccuracies, lack of information, and partial truth. Then the TOPSIS method uses the principle that the preferred alternative must have the farthest from the negative ideal solution and the shortest interval from the positive ideal solution to find the optimal solution from the available alternatives.