A wide research area in mathematics is devoted to the formalization what they call Decision Making, either from a descriptive or a prescraptive point of view. This is justified because individual decisions appears sometimes as the only objective information we get about people, and one can argue that individ- ual decisions are the essential human fact. A human being is viewed just as a decision maker. We should realize that a portion of the Decision Making researchers have a particular view about what a decision is. Decision Making in a Bayesian context
The work in this book is based on philosophical as well as logical views on the subject of decoding ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
International audienceWe try to provide a tentative assessment of the role of fuzzy sets in decision...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
Every day decision making and decision making in complex human-centric systems are characterized by ...
The author deals with the group decision-making problem, assuming that each individual defines an op...
Artificial intelligence (AI) is once again a topic of huge interest for computer scientists around t...
Standard (type-1) fuzzy sets were introduced to resemble human reasoning in its use of approximate i...
A fuzzy set is a mathematical model of a collection of elements (objects) with fuzzy boundaries, whi...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
In many practical situations, users describe their preferences in imprecise (fuzzy) terms. In such s...
Fuzzy logic provides a mathematical formalism for a unified treatment of vagueness and imprecision t...
This paper is based on an invited talk at the EUROFUSE Workshop Preference Modelling and Decision An...
Computational intelligence algorithms are currently capable of dealing with simple cognitive process...
Abstract: Looking at modern theories in management science and business administration, one recogniz...
The work in this book is based on philosophical as well as logical views on the subject of decoding ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
International audienceWe try to provide a tentative assessment of the role of fuzzy sets in decision...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
Every day decision making and decision making in complex human-centric systems are characterized by ...
The author deals with the group decision-making problem, assuming that each individual defines an op...
Artificial intelligence (AI) is once again a topic of huge interest for computer scientists around t...
Standard (type-1) fuzzy sets were introduced to resemble human reasoning in its use of approximate i...
A fuzzy set is a mathematical model of a collection of elements (objects) with fuzzy boundaries, whi...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
In many practical situations, users describe their preferences in imprecise (fuzzy) terms. In such s...
Fuzzy logic provides a mathematical formalism for a unified treatment of vagueness and imprecision t...
This paper is based on an invited talk at the EUROFUSE Workshop Preference Modelling and Decision An...
Computational intelligence algorithms are currently capable of dealing with simple cognitive process...
Abstract: Looking at modern theories in management science and business administration, one recogniz...
The work in this book is based on philosophical as well as logical views on the subject of decoding ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
International audienceWe try to provide a tentative assessment of the role of fuzzy sets in decision...