Journal of Scientific Research and Advances This article is © J. Kumar et al. www.jsciresadv.weebly.com J. Sci. Res. Adv. 2015, 2(3), 125-130 | 125 TOPSIS and VIKOR approaches to machine tool selection Jitendra Kumar 1* , Tarun Soota 2 , Ganga Sagar Singh 1 Cite this article: J. Sci. Res. Adv. Vol. 2, No. 3, 2015, 125-130. 5 This paper mainly focuses to compare the different multiple criteria decision making (MCDM) methods such as TOPSIS and VIKOR Method for selection of alternative industrial welding machine. Both the methods are based on an aggregating function that represents closeness to the ideal solution. VIKOR method is based on linear normalization whereas TOPSIS method used vector normalization to eliminate the units of criterion functions. A solution obtained by TOPSIS method has the shortest distance from the 10 ideal one and farthest from the negative ideal solution. VIKOR method helps to determine a compromise solution that gives a maximum group utility for the majority and minimum for opponents. In this paper, rank obtained by TOPSIS and VIKOR are compared by the help of SDI (statistical design institute) software tool.SDI tool software has also been used for obtaining the results and thus the result obtained is being compared with the result of TOPSIS and VIKOR. The correlation coefficient was calculated with 15 the help of MINITAB software to measure the rank coefficient between VIKOR and TOPSIS. Introduction Decision-making is a logical human judgment process for identifying and choosing alternatives based on the values and 20 preferences of the decision maker that mostly applied in the managerial level of the concerned department of the organization. Recently, decision-making has gained immense popularity in industries because of their global competitiveness and to survive successfully in respective market place. Therefore, decision- 25 making plays a vital role especially in purchase department for reducing material costs, minimizing production time as well as improving the quality of product or service. But, in today’s real life problems, decision-makers generally face lot of confusions, ambiguity due to the involvement of uncertainty and subjectivity 30 in complex evaluating criterions of alternatives. To deal such kind of vagueness in human thought the title ‘Decision-Making in Fuzzy Environment’ has focused into the emerging area of research associated with decision sciences. In order to tackle such kind of problems, Rao R.V. [1] introduced fuzzy sets contributed 35 to the field of MCDM and called fuzzy Multi-Criteria Decision Making (FMCDM) approach. Today ’ s, it has been observed that, FMCDM has gained immense popularity in the real life applications. Zavadskas and Kaklauskas [2] developed a method of multiple criteria complex proportional assessment of projects 40 for determining the priority and the utility degree of alternatives. In the period of 1996–2011, Lithuanian as well as foreign scientists has been applying the original or expanded method for solving different engineering as well as management multi- attribute problems. Usual crisp TOPSIS as developed by Hwang 45 and Yoon [3] and fuzzy TOPSIS has been mostly applied in construction management for ranking of construction technological alternatives, selecting of resource-saving decisions, accepting other technological or facility management decisions. Yen and Chang [4] apply a new fuzzy multi criteria decision 50 making approach for evaluating decision alternatives involving subjective judgments made by a group of decision makers was presented. Jakimavicius and Burinskiene [5] have evaluated road design and transport systems. In some papers the application of extended TOPSIS has been analyzed by Zavadskas et al.[6] the 55 methodology for measuring the accuracy of determining the relative significance of alternatives as a function of the criteria values was developed Attempts using extended TOPSIS method with different distance approaches were published, Opricovic [7-9] was developed Compromise ranking method 60 VIKOR .The present method was compared with TOPSIS methods by Opricovic and Tzeng [8]. According to Opricovic and Tzeng, the values normalized by vector normalization and applied in TOPSIS may depend on the evaluation unit. Moreover, these two methods introduce different aggregating functions for 65 ranking. Therefore, the authors of the current paper also applied the VIKOR method for ranking redevelopment alternatives of derelict buildings Antucheviciene and Zavadskas [10]. The VIKOR-F method has been developed to solve fuzzy multi criteria problem with conflicting and no commensurable criteria 70 Opricovic [9]. Keeping this in mind, this paper introduces innovative decision methodologies for an evaluation cum selection policy analysis, based on theory of multi-criteria decision-making-tools theory. However, combination of VIKOR with some other MCDM methods has been more often applied 75 and handling of a proper MCDM technique has been discussed. Selection of proper methods considering their advantages and disadvantages in qualitative manner was analyzed by Ginevicius and Zubrecovas [11, 12] .TOPSIS and VIKOR were applied for evaluating of environment of enterprises by Ginevicius et al.[13] . 80 The TOPSIS and VIKOR methods have been used in the literature as multi criteria tools in selection among various alternatives considering multiple criteria by Rao [14] and Zammori et al. [15].