|
Showing 1 - 9 of
9 matches in All Departments
Knowledge acquisition is one of the most important aspects
influencing the quality of methods used in artificial intelligence
and the reliability of expert systems. The various issues dealt
with in this volume concern many different approaches to the
handling of partial knowledge and to the ensuing methods for
reasoning and decision making under uncertainty, as applied to
problems in artificial intelligence. The volume is composed of the
invited and contributed papers presented at the Workshop on
Mathematical Models for Handling Partial Knowledge in Artificial
Intelligence, held at the Ettore Majorana Center for Scientific
Culture of Erice (Sicily, Italy) on June 19-25, 1994, in the
framework of the International School of Mathematics
"G.Stampacchia." It includes also a transcription of the roundtable
held during the workshop to promote discussions on fundamental
issues, since in the choice of invited speakers we have tried to
maintain a balance between the various schools of knowl edge and
uncertainty modeling. Choquet expected utility models are discussed
in the paper by Alain Chateauneuf: they allow the separation of
perception of uncertainty or risk from the valuation of outcomes,
and can be of help in decision mak ing. Petr Hajek shows that
reasoning in fuzzy logic may be put on a strict logical (formal)
basis, so contributing to our understanding of what fuzzy logic is
and what one is doing when applying fuzzy reasoning."
|
Advances in Computational Intelligence, Part I - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9 - 13, 2012. Proceedings, Part I (Paperback, 2012 ed.)
Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, …
|
R3,074
Discovery Miles 30 740
|
Ships in 10 - 15 working days
|
These four volumes (CCIS 297, 298, 299, 300) constitute the
proceedings of the 14th International Conference on Information
Processing and Management of Uncertainty in Knowledge-Based
Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258
revised full papers presented together with six invited talks were
carefully reviewed and selected from numerous submissions. The
papers are organized in topical sections on fuzzy machine learning
and on-line modeling; computing with words and decision making;
soft computing in computer vision; rough sets and complex data
analysis: theory and applications; intelligent databases and
information system; information fusion systems; philosophical and
methodological aspects of soft computing; basic issues in rough
sets; 40th anniversary of the measures of fuziness; SPS11
uncertainty in profiling systems and applications; handling
uncertainty with copulas; formal methods to deal with uncertainty
of many-valued events; linguistic summarization and description of
data; fuzzy implications: theory and applications; sensing and data
mining for teaching and learning; theory and applications of
intuitionistic fuzzy sets; approximate aspects of data mining and
database analytics; fuzzy numbers and their applications;
information processing and management of uncertainty in
knowledge-based systems; aggregation functions; imprecise
probabilities; probabilistic graphical models with imprecision:
theory and applications; belief function theory: basics and/or
applications; fuzzy uncertainty in economics and business; new
trends in De Finetti's approach; fuzzy measures and integrals;
multicriteria decision making; uncertainty in privacy and security;
uncertainty in the spirit of Pietro Benvenuti; coopetition; game
theory; probabilistic approach.
|
Advances in Computational Intelligence, Part II - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9 - 13, 2012. Proceedings, Part II (Paperback, 2012 ed.)
Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, …
|
R1,658
Discovery Miles 16 580
|
Ships in 10 - 15 working days
|
These four volumes (CCIS 297, 298, 299, 300) constitute the
proceedings of the 14th International Conference on Information
Processing and Management of Uncertainty in Knowledge-Based
Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258
revised full papers presented together with six invited talks were
carefully reviewed and selected from numerous submissions. The
papers are organized in topical sections on fuzzy machine learning
and on-line modeling; computing with words and decision making;
soft computing in computer vision; rough sets and complex data
analysis: theory and applications; intelligent databases and
information system; information fusion systems; philosophical and
methodological aspects of soft computing; basic issues in rough
sets; 40th anniversary of the measures of fuziness; SPS11
uncertainty in profiling systems and applications; handling
uncertainty with copulas; formal methods to deal with uncertainty
of many-valued events; linguistic summarization and description of
data; fuzzy implications: theory and applications; sensing and data
mining for teaching and learning; theory and applications of
intuitionistic fuzzy sets; approximate aspects of data mining and
database analytics; fuzzy numbers and their applications;
information processing and management of uncertainty in
knowledge-based systems; aggregation functions; imprecise
probabilities; probabilistic graphical models with imprecision:
theory and applications; belief function theory: basics and/or
applications; fuzzy uncertainty in economics and business; new
trends in De Finetti's approach; fuzzy measures and integrals;
multicriteria decision making; uncertainty in privacy and security;
uncertainty in the spirit of Pietro Benvenuti; coopetition; game
theory; probabilistic approach.
|
Advances in Computational Intelligence, Part IV - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9 - 13, 2012. Proceedings, Part IV (Paperback, 2012 ed.)
Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, …
|
R1,687
Discovery Miles 16 870
|
Ships in 10 - 15 working days
|
These four volumes (CCIS 297, 298, 299, 300) constitute the
proceedings of the 14th International Conference on Information
Processing and Management of Uncertainty in Knowledge-Based
Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258
revised full papers presented together with six invited talks were
carefully reviewed and selected from numerous submissions. The
papers are organized in topical sections on fuzzy machine learning
and on-line modeling; computing with words and decision making;
soft computing in computer vision; rough sets and complex data
analysis: theory and applications; intelligent databases and
information system; information fusion systems; philosophical and
methodological aspects of soft computing; basic issues in rough
sets; 40th anniversary of the measures of fuziness; SPS11
uncertainty in profiling systems and applications; handling
uncertainty with copulas; formal methods to deal with uncertainty
of many-valued events; linguistic summarization and description of
data; fuzzy implications: theory and applications; sensing and data
mining for teaching and learning; theory and applications of
intuitionistic fuzzy sets; approximate aspects of data mining and
database analytics; fuzzy numbers and their applications;
information processing and management of uncertainty in
knowledge-based systems; aggregation functions; imprecise
probabilities; probabilistic graphical models with imprecision:
theory and applications; belief function theory: basics and/or
applications; fuzzy uncertainty in economics and business; new
trends in De Finetti's approach; fuzzy measures and integrals;
multi criteria decision making; uncertainty in privacy and
security; uncertainty in the spirit of Pietro Benvenuti;
coopetition; game theory; probabilistic approach.
|
Advances in Computational Intelligence, Part III - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9 - 13, 2012. Proceedings, Part III (Paperback, 2012 ed.)
Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, …
|
R1,662
Discovery Miles 16 620
|
Ships in 10 - 15 working days
|
These four volumes (CCIS 297, 298, 299, 300) constitute the
proceedings of the 14th International Conference on Information
Processing and Management of Uncertainty in Knowledge-Based
Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258
revised full papers presented together with six invited talks were
carefully reviewed and selected from numerous submissions. The
papers are organized in topical sections on fuzzy machine learning
and on-line modeling; computing with words and decision making;
soft computing in computer vision; rough sets and complex data
analysis: theory and applications; intelligent databases and
information system; information fusion systems; philosophical and
methodological aspects of soft computing; basic issues in rough
sets; 40th anniversary of the measures of fuziness; SPS11
uncertainty in profiling systems and applications; handling
uncertainty with copulas; formal methods to deal with uncertainty
of many-valued events; linguistic summarization and description of
data; fuzzy implications: theory and applications; sensing and data
mining for teaching and learning; theory and applications of
intuitionistic fuzzy sets; approximate aspects of data mining and
database analytics; fuzzy numbers and their applications;
information processing and management of uncertainty in
knowledge-based systems; aggregation functions; imprecise
probabilities; probabilistic graphical models with imprecision:
theory and applications; belief function theory: basics and/or
applications; fuzzy uncertainty in economics and business; new
trends in De Finetti's approach; fuzzy measures and integrals;
multicriteria decision making; uncertainty in privacy and security;
uncertainty in the spirit of Pietro Benvenuti; coopetition; game
theory; probabilistic approach.
The approach to probability theory followed in this book (which
differs radically from the usual one, based on a measure-theoretic
framework) characterizes probability as a linear operator rather
than as a measure, and is based on the concept of coherence, which
can be framed in the most general view of conditional probability.
It is a flexible' and unifying tool suited for handling, e.g.,
partial probability assessments (not requiring that the set of all
possible outcomes' be endowed with a previously given algebraic
structure, such as a Boolean algebra), and conditional
independence, in a way that avoids all the inconsistencies related
to logical dependence (so that a theory referring to graphical
models more general than those usually considered in bayesian
networks can be derived). Moreover, it is possible to encompass
other approaches to uncertain reasoning, such as fuzziness,
possibility functions, and default reasoning.
The book is kept self-contained, provided the reader is familiar
with the elementary aspects of propositional calculus, linear
algebra, and analysis.
The approach to probability theory followed in this book (which
differs radically from the usual one, based on a measure-theoretic
framework) characterizes probability as a linear operator rather
than as a measure, and is based on the concept of coherence, which
can be framed in the most general view of conditional probability.
It is a flexible' and unifying tool suited for handling, e.g.,
partial probability assessments (not requiring that the set of all
possible outcomes' be endowed with a previously given algebraic
structure, such as a Boolean algebra), and conditional
independence, in a way that avoids all the inconsistencies related
to logical dependence (so that a theory referring to graphical
models more general than those usually considered in bayesian
networks can be derived). Moreover, it is possible to encompass
other approaches to uncertain reasoning, such as fuzziness,
possibility functions, and default reasoning.
The book is kept self-contained, provided the reader is familiar
with the elementary aspects of propositional calculus, linear
algebra, and analysis.
Knowledge acquisition is one of the most important aspects
influencing the quality of methods used in artificial intelligence
and the reliability of expert systems. The various issues dealt
with in this volume concern many different approaches to the
handling of partial knowledge and to the ensuing methods for
reasoning and decision making under uncertainty, as applied to
problems in artificial intelligence. The volume is composed of the
invited and contributed papers presented at the Workshop on
Mathematical Models for Handling Partial Knowledge in Artificial
Intelligence, held at the Ettore Majorana Center for Scientific
Culture of Erice (Sicily, Italy) on June 19-25, 1994, in the
framework of the International School of Mathematics
"G.Stampacchia." It includes also a transcription of the roundtable
held during the workshop to promote discussions on fundamental
issues, since in the choice of invited speakers we have tried to
maintain a balance between the various schools of knowl edge and
uncertainty modeling. Choquet expected utility models are discussed
in the paper by Alain Chateauneuf: they allow the separation of
perception of uncertainty or risk from the valuation of outcomes,
and can be of help in decision mak ing. Petr Hajek shows that
reasoning in fuzzy logic may be put on a strict logical (formal)
basis, so contributing to our understanding of what fuzzy logic is
and what one is doing when applying fuzzy reasoning."
The volume "Modern Information Processing: From Theory to
Applications," edited by Bernadette Bouchon-Meunier, Giulianella
Coletti and Ronald Yager, is a collection of carefully selected
papers drawn from the program of IPMU'04, which was held in
Perugia, Italy.
The book represents the cultural policy of IPMU conference which is
not focused on narrow range of methodologies, but on the contrary
welcomes all the theories for the management of uncertainty and
aggregation of information in intelligent systems, providing a
medium for the exchange of ideas between theoreticians and
practitioners in these and related areas.
The book is composed by 7 sections:
UNCERTAINTY
PREFERENCES
CLASSIFICATION AND DATA MINING
AGGREGATION AND MULTI-CRITERIA DECISION MAKING
KNOWLEDGE REPRESENTATION
The book contributes to enhancement of our ability to deal
effectively with uncertainty in all of its manifestations.
The book can help to build brigs among theories and methods
methods for the management of uncertainty.
The book addresses issues which have a position of centrality in
our information-centric world.
The book presents interesting results devoted to representing
knowledge: the goal is to capture the subtlety of human knowledge
(richness) and to allow computer manipulation (formalization).
The book contributes to the goal: an efficient use of the
information for a good decision strategy.
APPLIED DOMAINS
. The book contributes to enhancement of our ability to deal
effectively with uncertainty in all of its manifestations.
. The book can help to build brigs among theories and methods
methods for the management of uncertainty.
. The book addresses issues which have a position of centrality in
our information-centric world.
. The book presents interesting results devoted to representing
knowledge: the goal is to capture the subtlety of human knowledge
(richness) and to allow computer manipulation
(formalization).
. The book contributes to the goal: an efficient use of the
information for a good decision strategy."
|
You may like...
Hampstead
Diane Keaton, Brendan Gleeson, …
DVD
R66
Discovery Miles 660
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|