Planning essentially involves decision making of some kind either by a single or a group of decision makers (planners). Quite often these decision making tasks are loaded with multiple conflicting objectives (goals, criteria etc). It becomes a formidable tasks for the planners to find a compromise solution in such circumstances. The techniques of multiple criteria decision making (MCDM) become ...

Concepts of decision design are introduced via Multiple Criteria Decision Making (MCDM), Knowledge Management (KM) and optimisation. Decision-making conflict is defined as the absence of a prominent tradeoffsfree alternative. Because tradeoffs are properties of alternatives (the measured) and not of criteria (the measures), designing an optimal decision involves designing a tradeoffs-free alter...

The purpose of this paper is to analyze the use of multiple criterion decision making (MCDM) in accounting expert systems (AES). Focusing on the MCDM nature of expert system evaluation functions leads towards a partial taxonomy of AES and a further understanding of "intelligence" in AES. The focus on the MCDM nature of the evaluation functions also serves to highlight the limitations of some of...

Many multi-criteria decision making (MCDM) methods have been proposed to handle uncertain decision making problems. Most of them are based on fuzzy numbers and they are not able to cope with risk in decision making. In recent years, some MCDM methods based on prospect theory to handle risk MCDM problems have been developed. In this paper, we propose the Fuzzy TODIM for group decision making, so...

A large number of multi criteria decision making (MCDM) software products have been developed in academia and business. The selection of the appropriate MCDM software product to solve a given decision problem is a difficult task. Users need adequate MCDM software that meets quality standards regarding usability and functionality, utility, reliability and computer efficiency. In this paper we ma...

Most decision making problems can be considered as multiple criteria decision making (MCDM) problems, and should be solved by MCDM method. The main advantage of MCDM is that it can give managers many dimensions to consider related elements, and evaluate all possible options under variable degrees. This paper applied fuzzy set theory and a compromised MCDM method VIKOR method to evaluate the ser...

In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functions after dropping nonessential objectives is analyzed. It turned out that the solution does not need be the same when using various methods for solving the system containing the nonessential objectives or not. In this ...

Multiple Criteria Decision Making (MCDM) models make preference decisions over multiple attributes’ alternatives available, which in most of the cases conflict among themselves. On the other hand, the classic MCDM model assumes that the decision maker has a pre-defined fixed set of criteria, when taking a decision, and is presented with a clear picture of all available alternatives. This classi...

In the real-world problems, we are likely confronted with some alternatives that need to be evaluated with respect to multiple conflicting criteria. Multi-criteria decision-making (MCDM) refers to making decisions in such a situation. There are many methods and techniques available for solving MCDM problems. The evaluation based on distance from average solution (EDAS) method is an efficient mu...

Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis. Since this task involves more than one criterion, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper proposes a multiple criteria decision making (MCDM)-based approach to estimate the number of clusters for a given data set. In this approach, MCDM methods con...