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...

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...

Multi-criteria decision-making (MCDM) can be formally implemented by various methods. This study compares suitability of four selected MCDM methods, namely WPM, TOPSIS, VIKOR, and PROMETHEE, for future applications in agent-based computational economic (ACE) models of larger scale (i.e., over 10 000 agents in one geographical region). These four MCDM methods were selected according to their app...

For ensuring the successful implementation of knowledge management, here raises a critical issue of how companies can better evaluate and select a favorable knowledge management strategy before that implementation. However, selecting a proper knowledge management strategy is a kind of multiple criteria decision-making (MCDM) problem required to consider a large number of complex factors. Unlike...

Multiple Criteria Decision Making or multi-attribute (MCDM) problems refer to performing preference decisions (e.g. ranking, ordering, prioritization, selection) over several available alternatives or objects that are characterized by multiple, usually conflicting, attributes or criteria. MCDM techniques have been and are still being encountered in a wide range of human activities, from the pro...

Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybr...

Application of Data Envelopment Analysis (DEA) as a Multicriterion Decision Making (MCDM) methodology is tested for Sri Ram Sagar Project, Andhra Pradesh, India to select the suitable irrigation planning alternative. Three different criterion functions of DEA, namely minimizing deviation variable D j (Min D j ), minimizing maximum deviation (Minmax), and minimizing the sum of deviations ∑ D j (...

In modeling Multi-Criteria Decision Making (MCDM) problem, we usually assume that the decision maker is able to elicitate his preferences with precision and without difficulty. However, in many situations, the expert is unable to provide his assessment with certainty or he is unwilling to quantify his preferences. To deal with such situations, a new MCDM model under uncertainty is introduced. I...

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...

Abstract— In this paper, a new extended method of multi criteria decision making based on fuzzy-Topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. Using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...