[PDF] Top 20 The Evaluation of Topsis and Fuzzy Topsis Method for Decision Making System in Data mining

... classical TOPSIS the rating and weight of the criteria are known ...crisp data are inadequate to model real life situation since human judgments are vague and cannot be estimated with exact numeric values ... See full document

... applied Fuzzy-TOPSIS for analyzing the stock exchange in ...utilized Fuzzy & AHP combined with TOPSIS to analyze the RLB (Reverse Logistics Barriers) in industry for electronics ... See full document

... different fuzzy multi-attribute group decision- making approaches, including fuzzy modelling of group decisions and fuzzy analytic hierarchy ...group decision-making. ... See full document

... normalized fuzzy numbers with the help of α-cuts and applied this proposed concept on numerical ...criteria decision making problems with different ...the TOPSIS method and presented a ... See full document

... TOPSIS is broadly applied in literature to handle multi objectives decision making problems in real ...in decision process resulting of subjective human ...Therefore, fuzzy TOPIS has ... See full document

... quantitative evaluation indexes in the process of the Internet economy development ...development evaluation index systems, and give a new set of Internet economy development evaluation ...and ... See full document

... uncertainty, data incompleteness, impreciseness and missing information and group decision ...of fuzzy multi-criteria decision method is ...Although fuzzy is a powerful tool to ... See full document

... a method that incorporates several system factors/components within a general framework for providing a holistic analysis of the problems and comprehensive evaluation of the related ... See full document

... of fuzzy logic and TOPSIS, which incorporates more than one criteria as the input of HO, and process uncertain input data and weight value to obtain the optimal ...The fuzzy logic is ... See full document

... factor. Fuzzy multiple attribute decision making is a suitable method for comparison, selection and prioritization of the different options taking into account different ...Water ... See full document

... group decision making units can reflect the underlying differences in ...separate decision making units into several homogeneous groups and to adjust for non- homogeneity ...group ... See full document

... DEA method evaluates supplier’s efficiency and classify them into two categories as efficient or inefficient but cannot decide the best supplier that suits the manufacturer’s criteria since all efficient suppliers ... See full document

... MCDM method, which was first developed by Hwang and Yoon in 1981 [12].TOPSIS takes the MADM problem with m alternatives as a geometrical system with m points in the n- dimensional ...this ... See full document

... to fuzzy data, Chen & Hwang remodeled TOPSIS ...the TOPSIS for Group Decision Making in fuzzy atmosphere ...used fuzzy TOPSIS for the evaluation ... See full document

... follows. Decision making framework for selection PDSs is given in Section ...Pythagorean fuzzy sets and three new similarity measures for PFSs are presented in this ...Pythagorean fuzzy ... See full document

... In this study, Iran’s provinces are compared and graded from the viewpoint of some economic and social development indices in 2013 using fuzzy Topsis Decision-making system ... See full document

... two fuzzy series. Hung and Wu [13] have applied Centroid method to calculate correlation of two fuzzy ...new method of fuzzy-Topsis is proposed where fuzzy numbers are ... See full document

... conduct decision-making analysis using the AHP (Analytical Hierarchy Process) method and TOPSIS (Technique for Order Preference by Symbolity to Ideal Solution) to determine the priority of ... See full document

... a Decision Support System (SPK) that serves as a tool for entrepreneurs in decision making in the process of selecting business ...SPK method used is Simple Additive Weighting (SAW) ... See full document

... Example 5.1. , [7]. Table 1 shows the linguistic terms ”Very Low” (VL), ”low” (L), ” Medium Low” (ML), ”Medium” (M), ”Medium High” (MH),”High” (H), ”Very High” (VH), and their corresponding type-1 fuzzy sets, ... See full document