There has been a growing interest and activity in the area of multiple criteria decision making (MCDM), especially in the last 20 years. Modeling and optimization methods have been developed in both crisp and fuzzy environments. The overwhelming majority of approaches for finding best compromise solutions to MCDM problems do not make use of the interdependences among the objectives. However, as...

The paper presents a first tentative work that investigates the interest and the questions raised by the introduction of argumentation capabilities in multiple criteria decision-making. Emphasizing the positive and the negative aspects of possible choices, by means of arguments in favor or against them is valuable to the user of a decisionsupport system. In agreement with the symbolic character...

In this paper, we consider generating random uniformly-distributed weights for the simulation of additive p-criteria decision models. First we review several approaches for generating random weights, and show that some obvious approaches do not work well at all. Then, we consider several procedures for generating weights that satisfy general linear constraints. Instead of solving many small lin...

A hybrid approach integrating OWA (Ordered Weighted Averaging) aggregation into TOPSIS (technique for order performance by similarity to ideal solution) is proposed to tackle multiple criteria decision analysis (MCDA) problems. First, the setting of extreme points (ideal and anti-ideal points) in TOPSIS is redefined and extended for handling the multiple extreme points situation where a decisio...

Mining method selection is one of the most critical and problematic activities of mining engineering. The ultimate goals of mining method selection are to maximize company profit, maximize recovery of the mineral resources and provide a safe environment for the miners by selecting the method with the least problems among the feasible alternatives. Selection of an appropriate mining method is a ...

--A simple, eclectic approach for solving discrete alternative multiple criteria decision problems is presented. It is based on the concept of the level of aspiration, and draws on ideas of various researchers. It assumes that the user has a set of alternatives with each alternative having a score on each of a number of objectives or measures of performance. The user determines his levels of as...

Original scientific paper In the present conditions of market globalization and thus increased market competition, the purchasing department and management structure of the company, in addition to answering questions what, how many and when to buy at what price, has also to be answered the question about an appropriate supplier. Supplier selection as well as the efficient inventory control can ...

This paper describes a new multi-stage technique PAKS (the abbreviation of Russian words: Consequent Aggregation of Classi ̄ed Situations) for sorting multi-attribute objects by a group. Based on decision maker preferences, this technique provides a hierarchical aggregation of a large number of initial attributes into a smaller number of criteria, thus reducing the dimension of the attribute spa...

Multiple Criteria Decision Making (MCDM) is firmly rooted in an alternative concept of optimality where multiple (rather than single) criteria characterize the notion of “the best” (or optimal), as is prevalent in the areas of economics, engineering, management and business. These are often constrained problems where search for an optimal solution requires some form of evaluating criteria perfo...

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...