In this paper we want to stress the relevance of decision aid procedures in complex decision making prob-lems and claim for an extra effort in order to develop appropriate rep-resentation tools when fuzzy criteria or objectives are present. In particu-lar, we point out how some painting algorithms may help decision mak-ers to understand problems subject to fuzziness based upon a graphical first approach, like Statistics use to do. Moreover, we point out that al-though the standard communication tool with machines are either data or words, we should also consider cer-tain families of graphics for such a role, mainly for the output
Within the frame of decision aid literature, decision making problems with multiple sources of infor...
Decision trees are one of the most popular choices for learning and reasoning from feature-based exa...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
The paper presents different fuzzy tools that are useful for decision-taking in pattern recognition,...
When no expert knowledge is available, fuzzy if-then rules may be extracted from examples of perform...
Present fuzzy system visualisations, while being useful have been ad hoc in nature. In this paper we...
Thc paper presents the different fuzzy tools those arc useful for lnklog decbion In Image processIng...
Abstract: Looking at modern theories in management science and business administration, one recogniz...
This paper discusses the use of fuzzy tools in the realm of Decision Support Systems. I have investi...
Categorization supports decision making, letting an analyst look at data from different perspectives...
This book shows how common operation management methods and algorithms can be extended to deal with ...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
In this paper a method for the design of algorithms is presented which use fuzzy techniques in order...
Many real-world applications have very high dimensionality^and require very complex decision borders...
Within the frame of decision aid literature, decision making problems with multiple sources of infor...
Decision trees are one of the most popular choices for learning and reasoning from feature-based exa...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
In this paper we want to stress the relevance of decision aid procedures in complex decision making ...
The paper presents different fuzzy tools that are useful for decision-taking in pattern recognition,...
When no expert knowledge is available, fuzzy if-then rules may be extracted from examples of perform...
Present fuzzy system visualisations, while being useful have been ad hoc in nature. In this paper we...
Thc paper presents the different fuzzy tools those arc useful for lnklog decbion In Image processIng...
Abstract: Looking at modern theories in management science and business administration, one recogniz...
This paper discusses the use of fuzzy tools in the realm of Decision Support Systems. I have investi...
Categorization supports decision making, letting an analyst look at data from different perspectives...
This book shows how common operation management methods and algorithms can be extended to deal with ...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
In this paper a method for the design of algorithms is presented which use fuzzy techniques in order...
Many real-world applications have very high dimensionality^and require very complex decision borders...
Within the frame of decision aid literature, decision making problems with multiple sources of infor...
Decision trees are one of the most popular choices for learning and reasoning from feature-based exa...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...