On the other hand, it is to be taken into account that some criteria may be subjective. On the one hand, information about the alternatives is often imprecise and the decision-makers can only provide approximate, incomplete or not well-defined information. Classical MCGDM problems usually present judgments as crisp numerical values and need to evaluate the performance of solutions according to each criterion. Generally, decision-makers have to consider both quantitative and qualitative assessments of the criteria in evaluating the considered alternatives.

The MCGDM is a process that contains five main steps starting with determining a group of decision-makers and ending with the selection of an alternative (Jacquet-Lagrèze and Siskos 2001). MCGDM problems arise in situations where a group of decision-makers faces a problem of selecting the optimal solution among different possible alternatives.

Multi-criteria group decision-making (MCGDM) was derived from the traditional MCDM and techniques of group decision-making. The results demonstrate that the proposed framework can successfully accomplish the goal of this study. Finally, a case study of location selection for landfill waste in Morocco is performed to demonstrate how this framework can facilitate decision-making process. The integration of these methods enables taking advantages of the strengths and complements each method’s weakness. The proposed framework includes commonly used tools for multi-criteria decision-making problems such as fuzzy Delphi, fuzzy AHP and fuzzy TOPSIS methods. In this study, a web-based FMCGDM framework that offers decision-makers a fast and reliable response service is proposed. However, this process contains many methods that require many time-consuming calculations depending on the number of criteria, alternatives and decision-makers in order to reach the optimal solution.

Fuzzy multi-criteria group decision making (FMCGDM) process is usually used when a group of decision-makers faces imprecise data or linguistic variables to solve the problems.

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