The TODIM is a valuable technique for solving classical MCDM problems in case of considering the decision maker’s psychological behavior. One main goal of this chapter is to introduce the measured functions-based hesitant fuzzy TODIM technique to deal with the behavioral MCDM problem under hesitant fuzzy environments. The main advantages of this technique are that (1) it can handle the MCDM pro...

Primary school selection is actually a decision making problem that should be supported with several source of information. Parents usually handle this problem in an unstructured manner which is indeed a fuzzy mental ranking of schools with respect to the effectiveness. In this study, an analytical hybrid multiple criteria decision making (MCDM) model is proposed and explained with details for ...

Energy is an important input for production, growth, and development. A sustainable energy sector, where production consumption balance ensured, constitutes a key point nature humanity. In this study, multidimensional framework presented to measure corporate sustainability in the sector. Based on framework, performance of companies operating Asia Europe regions measured by hybrid multiple-crite...

One of the most widespread multi-criteria decision-making methods is Analytic Hierarchy Process (AHP). AHP successfully combines pairwise comparisons method and hierarchical approach. It allows decision-maker to set priorities for all ranked alternatives. But what if, some them, their ranking value known (e.g., it can be determined differently)? The Heuristic Rating Estimation (HRE) proposed in...

Classical information retrieval (IR) methods often lose valuable information when aggregating weights, which may diminish the discriminating power between documents. To cope with this problem, the paper presents an approach for ranking documents in IR, based on a vector-based ordering technique already considered in fuzzy logic for multiple criteria analysis purpose. Moreover, the proposed appr...

The alignment and mapping of large genomic sequences is the focus of much recent research. However, relatively little has been done so far about testing and validating alignment methods. We introduce criteria and new tools we have developed for alignment evaluation. These tools have already proved useful in the evaluation and ranking of several methods for assembly-to-assembly mapping, which we...

This paper presents a multiple criteria decision aiding approach in order to build a ranking and suggest a choice 2 on a set of alternatives. The partial evaluations of the alternatives on the points of view can be fuzzy numbers. The aggregation is performed through the use of a fuzzy extension of the Choquet integral. We detail how to assess the parameters of the aggregator by using alternativ...

E-alliance is the platform of promoting e-commerce products. An efficient approach to evaluate and rank the suitable ecommerce products is essential for the business value of an e-alliance portal, where the business partners or consumers efficiently search the best fit e-commerce products for their transaction in internet. This paper proposes the Primitive Cognitive Network Process for the rank...

A model for analyzing rank data obtained from multiple evaluators, possibly using different ranking criteria, is proposed. The model is speciŽ ed hierarchically within the Bayesian paradigm and includes parameters that represent the probabilities that two items are assigned equal rankings. Also included are parameters that account for the relative precision of rankings obtained from distinct ev...