Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been cr...

Expert Systems (ES), a promising branch of Artificial Intelligence (AI), have achieved considerable success in recent years. This area of AI has concentrated on the construction of high-performance programs in specialized professional domains. Building a new expert system is a major investment. Choosing the right expert system building tool or shell is critical to the success and failure of suc...

Testability is an essential criterion for software quality and it is always difficult to measure. Multicriteria Decision Making (MCDM) approaches are very effectively and widely used in predicting the quality of the software. MCDM techniques are very helpful in ambiguous range of decisions. It has the ability to grip the uncertainty of pairwise comparisons. In this paper, multicriteria decision...

Management of public resources, such as fisheries, is a complex task. Society, in general, has a number of goals that it hopes to achieve from the use of public resources. These include conservation, economic, and social objectives. However, these objectives often conflict, due to the varying opinions of the many stakeholders. It would appear that the techniques available in the field of multip...

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...

In this paper, we demonstrate the design and use of a Foresight Support System (FSS) combining two multi-criteria decision-making (MCDM) methods. Traditionally, foresight activities involves Delphi, focus group, or Estimate-Talk-Estimate techniques to collect opinions of an expert panel. Often, these techniques are not computerized and data visualization is rudimentary. Our highly-interactive F...

A multi-criteria decision making (MCDM) method, as its own name suggests, is for use in situations when more than one criterion must be considered. In this work, we will focus on the Analytic Hierarchy Process (AHP), one of the well-known and most widely used MCDM approaches. Despite the extensive application of this method in various fields of decision making, AHP has been combined within unce...

insurance companies are important economic institutions in each country and support other economic institutions and good performance of them has an effective role in economic boom. insurance companies to achieve strong and effective performance must be aware of the environment, the competitor and their performance and carry out necessary actions with regard to this information. in this study, t...

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...

The first steps of multi-criteria decision making (MCDM) are typically the decomposition and structuring of the decision problem at hand. As all subsequent process steps of MCDM are based on the initial structuring of the decision problem, the validity of the structure representing the decision problem is of particular importance for the quality of the decision making process. This paper seeks ...