Open AccessRETRACTED: Integration of Fuzzy AHP-VIKOR Methods in Multi Criteria Decision Making: Literature Review
Author(s) -
Aulia Ishak,
. Asfriyati,
Bagas Riandi Nainggolan
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/1003/1/012160
Subject(s) - vikor method , multiple criteria decision analysis , analytic hierarchy process , ranking (information retrieval) , computer science , fuzzy logic , topsis , ideal solution , operations research , compromise , mathematical optimization , mathematics , artificial intelligence , law , thermodynamics , physics , political science
The rapid development of the times directly demands technology, culture and social development as well. The development of this era also gives us many problems that must be resolved. One of the problems that must be faced is the problem of making decisions. There are many methods for solving decision-making problems, one of which is Multiple-Criteria Decision Making (MCDM). MCDM is a decision-making method to determine the best alternative from a number of alternatives based on certain criteria. This journal will discuss one of the MCDM methods, namely Fuzzy AHP-TOPSIS. Basically, AHP breaks up a complex and unstructured situation into its component parts. Then arrange these parts or variables in a hierarchical arrangement and give numerical values to subjective considerations about the relative importance of each variable. The fuzzy set theory used to represent uncertainty, obscurity, inaccuracy, lack of information, and partial truth. In the VIKOR method, a ranking is performed on the weight that has been obtained in the FAHP method by comparing ratings from a series of alternatives. The VIKOR method calculate the ratio positive and negative ideal solution. The VIKOR method propose a compromise solution with profit rate. This method overcomes the drawbacks of other MCDM methods.