Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation concerning a set of objects (called also alternatives, solutions, acts, actions, cases, candidates) evaluated wiht respect to a plurality of their characteristics considered relevant for the problem at hand, and called attributes. For example, a decision can regard: 1) diagnosis of pathologies for a set of patients, being the objects of the decision, and the attributes are symptoms and results of medical examinations, 2) assignment to classes of risk for a set of firms, being the objects of the decision, and the attributes are ratio indices and other economic indicators such as the market structure, the technology used by the enterprises, the qu...
International audienceThree main approaches presently dominate preferences derivation or evaluation ...
Rough set theory is a new approach to decision making in the presence of uncertainty and vagueness. ...
Modern business judgment is mostly faced with complex, unclear nature, and not fully confirmed resea...
Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation con...
The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a...
The original rough set approach proved to be very useful in dealing with inconsistency problems foll...
ABSTRACT. The aim of multicriteria decision aiding is to give the decision maker a recommendation co...
Abstract. The rough set theory was proved of its effectiveness in deal-ing with the imprecise and am...
Rough set theory is a new mathematical approach to data analysis. The rough set ap-proach seems to b...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
[[abstract]]In this paper, we propose a robust multiple attributes decision-making (MADM) method bas...
For the time when we deal with the difficulty of determining a decision attribute among several cand...
AbstractUsing an illustrative case study on the Indian cosmetic industry, this paper illustrates the...
Using an illustrative case study on the Indian cosmetic industry, this paper illustrates the advanta...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
International audienceThree main approaches presently dominate preferences derivation or evaluation ...
Rough set theory is a new approach to decision making in the presence of uncertainty and vagueness. ...
Modern business judgment is mostly faced with complex, unclear nature, and not fully confirmed resea...
Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation con...
The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a...
The original rough set approach proved to be very useful in dealing with inconsistency problems foll...
ABSTRACT. The aim of multicriteria decision aiding is to give the decision maker a recommendation co...
Abstract. The rough set theory was proved of its effectiveness in deal-ing with the imprecise and am...
Rough set theory is a new mathematical approach to data analysis. The rough set ap-proach seems to b...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
[[abstract]]In this paper, we propose a robust multiple attributes decision-making (MADM) method bas...
For the time when we deal with the difficulty of determining a decision attribute among several cand...
AbstractUsing an illustrative case study on the Indian cosmetic industry, this paper illustrates the...
Using an illustrative case study on the Indian cosmetic industry, this paper illustrates the advanta...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
International audienceThree main approaches presently dominate preferences derivation or evaluation ...
Rough set theory is a new approach to decision making in the presence of uncertainty and vagueness. ...
Modern business judgment is mostly faced with complex, unclear nature, and not fully confirmed resea...