Multi-Criteria Decision-Making with Linguistic Labels

Multi-criteria decision making with linguistic labels: A comparison of two methodologies applied to energy planning

This paper compares two multi-criteria decision making (MCDM) approaches based on linguistic label assessment. The first approach consists of a modified fuzzy TOPSIS methodology introduced by Kaya and Kahraman in 2011. The second approach, introduced by Agell et al. in 2012, is based on qualitative reasoning techniques for ranking multi-attribute alternatives in group decision-making with lingu...

Solving multi-criteria decision making with incomplete linguistic preference relations

This study proposes some issues to solve the Incomplete Linguistic Preference Relations under Multi-Criteria Decision Making. The proposed method has simple calculation and can speed up the process of comparison and selection of alternative. Experts obtain the matrix by choosing a finite and fixed set of alternatives and perform a pairwise comparison based on their different preferences and kno...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

A Model for Linguistic Dynamic Multi-criteria Decision-Making

In this contribution, it is introduced a linguistic dynamic multi-criteria decision-making model to solve decision problems in which time dimension is included in the solving process, and the decision-maker provides the assessments by means of linguistic terms. An illustrative example of linguistic dynamic multicriteria decision-making is exhibited.

Evaluation of recommender systems: A multi-criteria decision making approach

The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find...