In this paper, we deal with ranking problems arising from various data mining applications where the major task is to train a rank-prediction model to assign every instance a rank. We first discuss the merits and potential disadvantages of two existing popular approaches for ranking problems: the ‘Max-Wins’ voting process based on multi-class support vector machines (SVMs) and the model based o...

in this paper a fuzzy analytical network process model for supporting the vendor selection process in strategic situations is suggested. first, the vendor evaluation problem is putting together by use of the multi-criteria decision-making (mcdm) approach and a five-step hybrid process, which incorporates the technique of fuzzy analytical network process. then the modified topsis (technique for ...

cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is used for evaluation and ranking decision making units (dmus) in data envelopment analysis (dea). unlike most existing dea ranking models which can only rank a subset of dmus, for example non-efficient or extreme efficient dmus, cross efficiency can rank all dmus, even non-extreme ones. however, sinc...

this article will address the extension of super efficiency method to rank the non-extreme efficient decision making units. many methodologies have introduced methods that can rank efficient units, amongst which, the super efficiency method due to its ability to provide meaningful geometrical as well as economic analyses has a significant place. but the common problem with all the super efficie...

-Need of robust multi criteria decision making techniques are becoming essential in day today life for decision makers to make appropriate decisions. This paper attempts to explore robustness through rank reversal properties of the Data Envelopment Analytic Hierarchy Process (DEAHP) in decision making. DEAHP uses the principles of Data Envelopment Analysis (DEA) to generate the local weights of...

The cross efficiency evaluation is used to performance measurement of decision making units in data envelopment analysis concept. One of the most important shortcoming of this method is existing alternative optimal solution and therefore, the efficiency scores are not unique. We are going to summarize the pervious models proposed by researchers and suggest an alternative secondary goal approach...

Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making in problems with inaccurate, uncertain, or missing information. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one, or that would give a certain rank for a specific alternative. The ...

implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. this research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. to take into account the uncertainties inherent in evaluation process, fuzzy logic i...