In the paper is presented Neuro-Fuzzy System as a decision-making support in selection of construction machines (the example selecting loader provided). Construction characteristics make basis for selection, but also other elements importance. The data modeling are prepared using Multi-Criteria Decision Making (MCDM) methods: Logarithm Methodology Additive Weights (LMAW), VIKOR, TOPSIS, MOORA a...

the selection of optimum support system is a key step in the successful design operation of tunneling, rock mass stabilization and minimization of plastic zone extension around a tunnel. in this context, it is not sufficient to rely only on the experiences of design engineers, but taking all effective measures and parameters is necessary to do a proper choice. in this paper, multi attribute dec...

The hierarchical TOPSIS model used in this article is able to grasp the ambiguity exists in the utilized information and the fuzziness appears in the human judgments and preferences. The use of the hierarchical fuzzy TOPSIS methodology offers a number of benefits: (1) being a systematic model and straight forward one for working on; and (2) capable of capturing human's appraisal of ambiguity wh...

Purpose: The aim of this study is applying a new method for Industrial robotic system selection. Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon’s Entropy. After that, fuzzy TOPSIS is utilized to rank the alternatives. After that we compare the result of Fuzzy TOPSIS with Fuzzy VIKOR method. Then we select the best Industrial Robotic ...

The aim of this paper is to extend the TOPSIS method for decisionmaking problems with Fuzzy data. By this extension of TOPSIS method, an algorithm for determining the most preferable choice among all possible choices in the case of fuzzy data is presented. To illustrate the performance of the proposed algorithm, a decision-making problem is solved at the end of paper.