This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multicriteria decision making (MCDM) problem, and reviews MCDM methods and techniques that can support the implementation of multi-criteria recommenders. Then, it focuses on the category of multi-criteria rating recommenders – techniques that provide rec...

In real life, sometimes Multi-Criteria Decision Making (MCDM) problems are dealt with inevitably under the disturbance of subjective factors such as intuition, feeling and emotion. However, the existing work cannot handle the issue well. As a result, it is difficult for them to predict and give some decision support for MCDM problem of this kind. Thus, to address the issue, this paper construct...

Several different technical options are nowadays available to seismically upgrade an existing building. Selecting the best one with reference to a given structure generally represents a complex problem. In fact many and generally conflicting are also the points of view by which each alternative has to be judged. Decision support systems like the so called Multi Criteria Decision Making (MCDM) m...

Since numerous criteria exist, appropriate career selection issue can be thought as a multi criteria decision making (MCDM) problem. The aim of this study is to show that career selection can be carried out via MCDM methods and to compare ordering results of these methods. In this study, a survey is administered to a university students. In application, eight professions are comparatively ranke...

This paper concerns some aspects of uncertainty in a multi-criteria decision-making (MCDM) in the framework of recommendation systems. We try to emphasize the interest of handling uncertainty with possibility distributions in a MCDM process when evaluations are imprecise. We propose to support the recommendation process by managing the propagation of decision-making indicators (location, imprec...

The evaluation of clustering algorithms is intrinsically difficult because of the lack of objective measures. Since the evaluation of clustering algorithms normally involves multiple criteria, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper presents an MCDM-based approach to rank a selection of popular clustering algorithms in the domain of financial risk ana...

The success of an industry depends on optimization of product cost and for achieving above goal Internal selection should be efficient. In the present study an efficient Multi-Criteria Decision Making (MCDM) approach has been proposed for quality evaluation and performance appraisal in vendor selection. Vendor selection is a Multi-Criteria Decision Making (MCDM) problem influenced by several pa...

Spatial decision making is a fundamental function of contemporary Geographic Information Systems (GIS). One of the most fertile GIS development areas is integrating multiple criteria decision models (MCDM) into GIS querying mechanisms. The classic approach for this integration has been to use Boolean techniques of MCDM with crisp representations of spatial objects (features) to produce static m...

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...

The process of multiple criteria decision making (MCDM) is of determining the best choice among all of the probable alternatives. The problem of supplier selection on which decision maker has usually vague and imprecise knowledge is a typical example of multi criteria group decision-making problem. The conventional crisp techniques has not much effective for solving MCDM problems because of imp...