The feature selection techniques are general in nature and can be applied for various kinds of dataset. One technique may give the best result for one dataset while under-perform for another dataset. Multicriteriadecisionmaking technique like TOPSIS is used to select the Computer Integrated Manufacturing (CIM) technologies. There are various CIM alternatives available and based on some features TOPSIS may be used to select one technology as per weights given to each feature . Multi-attribute decisionmaking (MADM) concept is also applied on cellular manufacturing system (CMS). In this similar parts are processed on the same machines and then grouped as a cell . Authors also proposed a new TOPSIS inspired multicriteria case based reasoning (CBR) for binary business failure prediction (BFP) . In  authors integrate fuzzy logic, survey questionnaires and MADM methods to propose a new disaster assessment model. Attributes weights of disaster indices are calculated by Delphi method and various MADM methods like TOPSIS, Preference ranking organization method for enrichment evaluation (PROMETHEE), Analytic hierarchy process (AHP) and Grey relational analysis (GRA). Comparison of different companies can be done by using multicriteria analysis modal based on some attributes. Modified TOPSIS is used to identify the relevance of financial ratio and then performance of various companies is evaluated for each financial ratio .
Technique for Ordering Preference by Similarity to Ideal Solution (TOPSIS) is another popular MultiCriteriaDecisionMaking method which uses the concept of shortest distance from the positive ideal solution (PIS) and the farthest distance from the negative ideal solution (NIS) to determine the best alternative. Fuzzy TOPSIS has been used to rank the web services available in the market . The Fuzzy TOPSIS method considers both the qualitative and quantitative aspects used in the selection of an appropriate industrial robotic system based on economic and technical attributes , . A review for service selection for cloud computing using MCDM methods discussed in  does not use quantitative trust estimates for ranking various CSPs.
nanoparticle preparation methods are Polymer Precipitation, Interfacial polymer deposition, Complex Coacervation, Cross linking, Emulsion solvent diffusion, Homogenization and Polymerization method. There are numerous parameters to be considered in groundwork of nanoparticles that departs the conclusion manufacturer in bias. One has to address a number of components in alignment to determine and choose the optimum conclusion choices, because an unsuitable conclusion could lead to the eventual merchandise having to be formulated and developed again. For this cause in this paper, we study selecting the most appropriate procedure for the preparation of nanoparticles utilizing one of the multicriteria-decisionmaking techniques, Analytic Network Process. Methodology: The main goal was determined. The criteria and sub-criteria that affect the main goal were determined. The alternatives for the problem were determined. The interactions between criteria, sub-criteria, and alternatives respect to the main goal were determined. The super matrixes according to the network were assembled and then weighted super matrix and limit super matrix were then constructed. The values of this limit matrix are the desired priorities of the elements with respect to the goal. The alterative with the highest priority was finally chosen as the best alternative.
Abstract— Achieving an accomplished e-commerce depends on high quality websites which are preferred by prospective customers. Assessing e-commerce website quality can be considered as a multi-criteriadecisionmaking problem because of its complex structure including qualitative and quantitative factors. In this study, we propose a new methodology based on fuzzy analytic hierarchy process. The proposed methodology enables multiple decision makers on evaluation and uses triangular fuzzy scale that includes both positive and negative fuzzy numbers. The methodology includes simple mathematical calculations, and it yields triangular fuzzy numbers of alternatives’ weights. At the last step, obtained alternatives’ weights are ranked by integral values method. In the empirical study, three e-commerce websites, which are the most famous in Turkey, are evaluated by the proposed methodology and fuzzy VIKOR methodology. The results of methodologies are compared.
Selection of material for a specific engineering component, which plays a significant role in its design and proper functioning, is often treated as a multi-criteriadecision-making (MCDM) problem where the most suitable material is to be chosen based on a given set of conflicting criteria. For solving these MCDM problems, the designers do not generally know what should be the optimal number of criteria required for arriving at the best decisive action. Those criteria should be independent to each other and their number should usually limit to seven plus or minus two. In this paper, five material selection problems are solved using three common MCDM techniques to demonstrate the effect of number of criteria on the final rankings of the material alternatives. It is interesting to observe that the choices of the best suited materials solely depend on the criterion having the maximum priority value. It is also found that among the three MCDM methods, the ranking performance of VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) method is the best.
Paper aims: this paper proposes a model to aid a group of decision makers to establish a portfolio of feasible actions (alternatives) that are able to balance water supply-demand strategies. Originality: Long periods of water shortages cause problems in semi-arid region of northeast Brazil, which affects different sectors such as food, public health, among others. This problem situation is intensified by population growth. Therefore, this type of decisionmaking is complex, and it needs to be solving by a structured model. Research method: The model is based on a problem structuring method (PSM) and a multi-criteriadecisionmaking (MCDM) method. Main findings: Due to society and government influences, the proposed model showed appropriate to conduct a robust and well-structured decisionmaking. Implications for theory and practice: The main contributions were the study in regions suffering from drought and water scarcity, as well as the combination of PSM and MCDM methods to aid in this problem.
predefined attributes to fill the vacant job positions [7-9]. Qualified personnel selection is the main goal of personnel selection process which is consisting of activities in which various methods is used by organization to judge whether candidates are suited for the vacant job positions needing to be occupied. Personnel selection problem is extremely complex and multi dimensional problem since human judgment, cognitive process, multi and different attributes, job environment changes, labor law changes, society changes, organizational changes, and change in marketing have influenced personnel selection and recruiting [7,10]. Duo to complexity and important role of personnel selection problem, call for robust and analytical systematic method rather than just decision makers‟ biases. One of the well-known methods in decisionmaking is multicriteriadecisionmaking (MCDM) methods that are an effective, trustworthy, and analytical helpful approach. Therefore, they are suitable approaches for dealing with personnel selection problem. In real-life situation such as personnel selection problem, decision makers face incomplete, vague, imprecision information, or human beings prefer to express their feeling and preference with verbal expression into numerical ones. Fuzzy set theory was introduced by Zadeh , and intuitionistic fuzzy set, the generalization of fuzzy set was introduced by Atanassov [12-16], are helpful tools for dealing with this situation. Consequently, MCDM methods based on fuzzy environment have been applied for personnel selection problem. In addition to, several authors have been used group decisionmaking method (GDM), hybrid decisionmaking models,
Decisionmaking for supply chain strategies under FMCDM environment involves complex evaluation process due to imprecise information. The complexity further increases as the number of alternatives and selection attributes increases. In this regard the application of the MOORA method is recommended for making decisions in a supply chain for the selection of best alternative from a number of alternatives. Three illustrative examples are considered to adjudge its enviable significance from the point of viability and feasibility. In example 1, it is observed that the ranking of all the alternatives obtained by applied method exactly match with those derived by the earlier researchers. In example 2, the ranking of the top two vendors exactly match with the result obtained from traditional AHP and MOORA method whereas the best vendor remains same among all the three methods. In example 3, the ranking of the suppliers obtained by MOORA and fuzzy TOPSIS with vague sets methods reveal that the best supplier and the worst supplier remain same. But the ranking of the intermediate vendors/suppliers were found different in example 2 & 3. The disparities among the intermediate rankings of the alternatives may be due to the diverse opinion given by the decision makers. The MOORA method can be applied in fuzzy environment considering both the qualitative as well as the quantitative criteria. Computationally the MOORA method is very simple and easily comprehensible which can handle large number of selection criteria. Application of this method in a wider range of selection problem in a supply chain is a direction of future research work.
Multi-CriteriaDecisionMaking is a well known branch of decisionmaking. ANP is one of the most used methods for decisionmaking in the literature. In our study we think about the problem, “aircraft selection” for the biggest Turkish airline company, Turkish Airlines. But this is not only a problem of Turkey or Turkish Airlines. For today’s growing and competitive airline market, “aircraft selection” is so important for each of airline companies.
Such formulation is helpful for modelling MADM with neutrosophic set information for the most general ambiguity cases, including paradox. The assessment of attribute values by the decision maker takes the form of single-valued neutrosophic set. Ye  studied multi- criteriadecisionmaking problem under SVNS environment. He proposed a method for ranking of alternatives by using weighted correlation coefficient. Ye  also discussed single-valued neutrosophic cross entropy for multi-criteriadecisionmaking problems. He used similarity measure for interval valued neutrosophic set for solving multi-criteriadecisionmaking problems. Grey relational analysis (GRA) is widely used for MADM problems. Deng [19-20] developed the GRA method that is applied in various areas, such as economics, marketing, personal selection and agriculture. Zhang et al.  discussed GRA method for multi attribute decisionmaking with interval numbers. An improved GRA method proposed by Rao & Singh  is applied for making a decision in manufacturing situations. Wei  studied the GRA method for intuitionistic fuzzy multi-criteriadecisionmaking. Therefore, it is necessary to pay attention to this issue for neutrosophic environment.
The efficient evaluation of technological innovation capabilities of enterprises is an important factor to enhance competitiveness. This paper aims to assess and to rank technological innovation evaluation criteria in order to provide a practical insight of systematic analysis by gathering the qualified experts’ opinions combined with three methods of multi-criteriadecisionmaking approach. A framework is proposed and uses a novel hybrid multiple criteriadecision-making (MCDM) model to address the dependence relationships of criteria with the aid of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), analytical network process (ANP) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje). The study reports that the interaction between criteria is essential and influences technological innovation capabilities; furthermore, this ranking development of technological innovation capabilities assessment is also one of key management tools for managements of other related high- tech enterprises. Managers can then judge the need to improve and determine which criteria provide the most effective direction towards improvement.
In this paper, we have presented a multi-criteriadecisionmaking method to rank different national Iranian oil refining and distribution companies. The proposed study of this paper used six factors including per capita supply, energy cost, physical productivity of labor, staff participation, quality control inspection of stations and education per capita. The proposed study uses Entropy to find the relative importance of each criterion and TOPSIS to rank 37 alternatives based on cities and three regions. The results of the implementation of our method indicate that central regions close to capital city of the country maintains the highest ranking (0.9122) while southern regions maintains the lowest comes in the lowest priority (0.0569) and the northern region is in the middle (0.7635). The results of the implementation of TOPSIS method for ranking 37 cities yields various numbers vary from 0.1421 to 0.7285. The mean and standard deviation of the ranking were 0.3026 and 0.1250, respectively.
In today‘s fierce competitive environment, characterized by thin profit margins, high consumer expectations for quality products and short lead-times, companies are forced to take advantage of any opportunity to optimize their business processes. To reach this aim, academics and practitioners have come to the same conclusion: for a company to remain competitive, it has to work with its supply chain partners to improve the chain‘s total performance (Aissaoui et al., 2007). Supplier selection is one of the critical activities for firms to gain competitive advantage and achieve the objectives of the whole supply chain (Guneri et al., 2009).On average, manufacturers‘ purchases of goods and services constitute up to 70% of product cost and in high-technology firms, purchased materials and services represent up to 80% of total product cost (Ghodsypo ur and O‘Brien, 2001). To manage this strategically important purchasing function effectively, appropriate method and criteria have to be chosen for the problem. Since, different and usually conflicting criteria have to be taken into account for evaluating and selecting the most promising alternative, the supplier (vendor) selection problem is a multi-criteriadecisionmaking and this problem needs to MCDM methods. In order to select the best supplier, this paper is organized as follows: first we present the brief literature about supplier selection researches and some mathematical methods in this sort of problems. The research methodology presented in Section 3. Section 4 proposed a two steps procedure, theoretically. A real world numerical example in an auto part manufacturer company is dealt with in section 5. Last section contains the conclusion.
Since the theory of fuzzy sets (Zadeh, 1965) was proposed in 1965, it has been used for handling fuzzy decision-making problems (Chen, 2000; Hong & Choi, 2014; Jae & Moon, 2002; Fan & Liu, 2015). Kickert (1978) has discussed the ﬁeld of fuzzy multi-criteriadecision-making. Zimmermann (1987) illustrated a fuzzy set approach to multi-objective decision- making, and he has compared some approaches to solve multi-attribute decision- making problems based on fuzzy set theory. Yager (1978) presented a fuzzy multi- attribute decision-making method that uses crisp weights. Yager (1988) introduced an ordered weighted aggregation operator and investigated its properties. Laarhoven and Pedrycz (2003) presented a method for multi-attribute decisionmaking using fuzzy numbers as weights.
During the past few years, there have been tremendous efforts on using recent advances in technology to provide electronic services and helping people transfer funds electronically, which increases security and bring peace of mind among banks’ customers. One of the primary concerns in banking industry is to measure the relative efficiency of banking industry in terms of e-business. This could be done through considering different criteria and measures them in terms of various perspectives using multicriteriadecisionmaking (MCDM) approaches such as data envelopment analysis (DEA) (Charnes et al., 1978, 1994; Andersen et al., 1993), analytical hierarchy process (AHP) (Saaty, 1992), Entropy and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
An up-to-date approach considers mining method selection as a multi-criteriadecision- making (MCDM) problem with a finite number of alternatives that have to be ranked considering many different and conflicting criteria. The advantage of these methods is that they can account for both financial and non-financial impacts. Among these methods, the most popular ones are scoring models, analytic hierarchy process – AHP, analytic network process – ANP, axiomatic design – AD, utility models, TOPSIS, ELECTRE and PROMETHEE. It is essential to develop all the elements related to the situation of MCDM in detail before selecting an appropriate MCDM method to solve the problem under consideration (Bufardi et al. 2004, Mergias et al. 2007).
We present an approach to characterize the potential of most promising NWFPs in the Alentejo region. We used the Analytic Hierarchy Process (AHP), one of many multi-criteriadecisionmaking methods, and a Delphi approach to support judgments collected from stakeholders and domain experts. In order to facilitate and manage the pairwise comparisons in the application of the AHP we selected seven regional NWFPs: boletus (Boletus edulis), cork (Quercus suber), pine nuts (Pinus pinea), pine resin (Pinus spp), yellow lavender (Lavandula viridis), honey from bees (Apis mellifera), and rabbit as game meat (Oryctolagus cuniculus). AHP incorporated the judgments (weights) from experts along a hierarchical decomposition of the problem into a set of criteria and sub-criteria, and generated a regionally explicit ranking of alternatives (NWFPs) by deriving priorities.
During the selection of investment projects, DM usually make a choice between several available alternative projects based on certain criteria (attributes), because the selection of investment projects can be considered as a multi-criteriadecision- making problem. Therefore, many authors propose the use of multi-criteriadecisionmaking (MCDM) methods for selection of the most suitable project (Obradović, 2012). Authors have considered investment project selection as important part of decisionmaking process in the corporations. Weingartner (1966) showed criteria for programming investment project selection. Tzeng and Teng (1993, 1998) presented transportation investment project selection with fuzzy multiobjectives. Dimova et al. (2006) used MCDM in a fuzzy setting to
Supplier selection management has been considered as an important subject for industrial organizations. In order to remain on the market, to gain profitability and to retain competitive advantage, business units need to establish an integrated and structured supplier selection system. In addition, environmental protection problems have been big solicitudes for organizations to consider green approach in supplier selection problem. However, finding proper suppliers involves several variables and it is critically a complex process. In this paper, the main attention is focused on finding the right supplier based on fuzzy multicriteriadecisionmaking (MCDM) process. The weights of criteria are calculated by analytical hierarchical process (AHP) and the final ranking is achieved by fuzzy technique for order preference by similarity to an ideal solution (TOPSIS). TOPSIS advantage among the other similar methods is to obtain the best solution close to ideal solution. The paper attempts to express better understanding by an example of an automobile manufacturing supply chain.