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035 (CaPaEBR)ebr10174084
035 (CaONFJC)MIL137285
035 (OCoLC)476063162
040 MiAaPQ|beng|erda|epn|cMiAaPQ|dMiAaPQ
050 4 Q342.I57 2004
082 0 006.3
100 1 Ruan, Da
245 10 Applied Computational Intelligence :|bProceedings of the
6th International FLINS Conference, Blankenberge, Belgium,
September 1-3, 2004
264 1 Singapore :|bWorld Scientific Publishing Co Pte Ltd,|c2004
264 4 |c©2004
300 1 online resource (709 pages)
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
505 0 Intro -- CONTENTS -- Foreword D. Ruan -- Invited Lectures
-- Uncertainty Modelling in Real-Time: From Logistics to
Financial Management H.-J. Zimmermann 1 -- Reasoning with
Uncertain Intelligence Information R.R. Yager -- An
Introduction to a Self Organizable & Regulating Engine P.
P. Wang and J. Robinson -- Hand Gesture as a Means of
Human-Friendly Interfacehteraction Z. Bien, J.-H. Do, J.-
B. Kim, H. Jang, and D.-J. Kim -- 1. Basics on Hand
Gesture -- 1.1. Definition of Gesture -- 1.2. Taxonomy of
Hand Gesture -- 1.3. Hand Gesture Recognition -- 2.
Application Systems -- 2.1. Soft Remocon System -- 2.2.
Hand-signal Recognition System -- 2.3. Sign Language
Recognition System -- 3. Concluding Remark --
Acknowledgments -- References -- Higher-Order Neural Units
for Image Processing and Their Applications to Robot
Routing Problems Z.-G. Hou, K.-I: Song, and M.M. Gupta --
1. Introduction -- 2. Higher-order neural units -- 3. Edge
detection using higher-order neural units and applications
to mobile robot routing problems -- 4. Conclusions --
Acknowledgments -- References -- Classifiers and Decision
Makers J. Montero -- 1. Introduction -- 2. Crisp
consistency in decision making -- 3. Fuzzy consistency in
decision making -- 4. Consistency in group decision making
-- 5. Final comments -- Acknowledgments -- References --
Fuzzy Data Mining: Fuzziness/Uncertainty in Discovery of
Associations G. Chen -- Uncertain Information Processing:
From Theory to Implementations at Southwest Jiaotong
University in China Y. Xu -- PART 1: FOUNDATIONS OF
COMPUTATIONAL INTELLIGENCE -- Progress and Prospect in
Lattice-Valued Logic Systems Based on Lattice Implication
Algebras Y. Xu, D. Ruan, and J. Liu -- 1. Introduction --
2. Research Progress in Lattice-Valued Logic -- 2.1
Progress in LIAs -- 2.1.1 The structures of LIAs -- 2.1.2
Filters of LIAs -- 2.1.3 LI-ideals of LIAs
505 8 2.1.4 Topology of LIAs -- 2.2 Progress in Lattice-Valued
Logic -- 2.2.1 Lattice-valued propositional logic LP(X)
andfirst-order logic LF(X) -- 2.2.3 Lattice-valued
propositional logic Lvpl and first-order logic Lvfl -- 2.3
Progress in Uncertainty Reasoning Based on Lattice-Valued
Logic -- 2.4 Progress in Automatic Reasoning Based on
Lattice-Valued Logic -- 3. Prospect on Lattice-Valued
Logic Based on LIAs -- 3.1 Prospect on LIAs -- 3.2
Prospect on Lattice-Valued Logic Based on LIA -- 3.3
Prospect on Uncertainty Reasoning in Lattice-Valued Logic
-- 3.4 Prospect on Automatic Reasoning in Lattice-Valued
Logic -- Acknowledgement -- References -- Implication
Algebra by Meta-Theory of the Uncertainty G. Resconi -- 1.
Introduction -- 2. Lattice Implication Algebras Axioms --
3. Meta Theory of Uncertainty and Implication Algebra --
4. Local and Global Transformatin of Logic Value in the
Set of Worlds -- Reference -- A Method of Constructing a
Quasi-Lattice Implication Algebra C. Zeng -- 1 . The
problem concerned -- 2. Algorithm -- 3. Example -- 4.
Conclusion -- Acknowledgments -- References -- On the
Construction of Finite Lattice Implication Algebras Y. Zhu
-- 1. Introduction -- 2. Preliminaries -- 3. Results and
Proofs -- Acknowledgments -- References -- The Relations
between Lattice Implication Algebras and Brouwerian
Lattice X . Pan, Y. Xu, and J. Liu -- 1. Introduction --
2. Preliminaries -- 3. Relations between Brouwerian
lattice and lattice implication algebras -- 4. Conclusion
-- 5. Acknowledgements -- References -- Relating
Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy Sets
Through Bilattices O. Arieli, C. Cornelis, G. Deschrijver,
and E.E. Kerre -- 1. Motivation -- 2. Preliminaries: IFSs,
IVFSs, and Bilattices -- 2.1. Intuitionistic fuzzy sets
(IFSs) -- 2.2. Interval-valued fizzy sets (IVFSs) -- 3.
Squares and Triangles -- 3.1. Squares
505 8 3.2. Triangles -- 4. Concluding Remarks -- References --
Some Fuzzy LI-Ideals in Lattice Implication Algebras Y.L.
Liu, S.Y. Liu, and Y. Xu -- 1. Introduction -- 2.
Preliminaries -- 3. Fuzzy ILI-ideals of lattice
implication algebras -- 4. Fuzzy prime LI-ideal of lattice
implication algebras -- 5. Fuzzy LI-ideal
characterizations of lattice implication algebras --
References -- LI-Filters in Lattice Implication Algebras
Y.L. Liu, Y. Xu, and S.Y. Liu -- 1. Introduction -- 2.
Preliminaries -- 3. F (L) as a Brouwerian Lattice -- 4. IF
(L) as a Boolean algebra -- 5. Some algebraic properties
of fuzzy LI-filters -- 6. Level LI-filter
characterizations of fuzzy LI-filters -- References -- The
Properties of Implication Operator in Lattice Implication
Algebra L. Yi, Y. Xu, and Z. Pei -- 1. Introduction -- 2.
The equivalent definition of lattice implication algebra -
- 3. The operation of implication operator in lattice
implication algebra -- References -- L-Valued Modal Fuzzy
Reasoning Based on the Lv PL Z. Ping and Y. Xu -- 1.
Introduction -- 2. L-valued modal fuzzy reasoning --
Acknowledgement -- References -- A Resolution Method on
Lattice-Valued Tense Propositional Logic W Li and Y. Xu --
1. Introduction -- 2. ( , t ) - Resolution Principle on
LTP(x) -- 3. ( , t ) - Resolution Algorithm on LTP(x) --
4. Conclusions -- Acknowledgments -- References -- Lattice
Implication Algebra Model of Linguistic Variable Truth and
Its Inference Z. Pei and Y. Xu -- 1. Introduction -- 2.
Ordering structure of linguistic domain -- 3. Lattice
implication algebra model of (T', c) -- 4. Reasoning by
directly handling linguistic terms -- 5. Conclusion --
References -- The Logic Validity of Analogy Inference and
Learning W. Pan and Y. Pan -- 1. Introduction -- 2. The
Unified Representation of Inference Problem -- 3.
Constraints on Logic Valid Analogy Inference in UOL
505 8 4. The Logic Validity of Semantic Similarity -- 5.
Conclusion -- References -- -Automated Reasoning Method
Based on LP(X) W Wang, B. Jiang, and Y. Xu -- 1.
Introduction -- 2. a-resolution field of 0-IESFs and 1-
IESFs -- 3. -Automated Reasoning Method Based on LP(X)
-- 4. Conclusion -- References -- Neural Networks = Fuzzy
Rule Bases E. Kolman and M. Margaliot -- 1. Introduction -
- 2. All-Permutations Fuzzy Rule-Base -- 3. Application:
Rule Extraction -- 4. Conclusions -- References --
Analysis of Weight Characteristics in a Multilayer
Perceptron W Kastnel -- T Forstel -- and R. Hampel -- 1.
Introduction -- 2. Generation of the evaluation values for
weight topology -- 2.1. DeJinition of weight factors --
2.2. Definition of the correlation weight -- 2.3. Relation
to statistical values -- 3. Demonstration of the
methodology on an example -- 4. Conclusions -- References
-- Immune Emergent Computation-Based Bio-Network
Architecture and Its Simulation Platform X. Zhang, I: Ding,
L. Ren, and L. Gao -- 1. Introduction -- 2. Immune
Emergent Computation -- 3. The Design of Immune-Based Bio-
network Architecture -- 3.1 Bio-entity and its Survivable
Environment -- 3.2 Bio-network Core Services -- 3.3 Bio-
network Low-Level Functional Modules -- 3.4 Bio-network
Simulation Platform -- 4. Conclusions -- Acknowledgments -
- Reference -- Fuzzy Analysis and Calculation Based on the
Structured Element S. Guo -- 1. Preliminaries -- 2. Fuzzy
structured element and fuzzy number -- 3. Analytic
representations of Fuzzy-valued functions -- 4.
Differential and integral of Fuzzy-valued function --
References -- Ranking Fuzzy Numbers with the General
Characteristic Z. Wang and Q. Mou -- 1. Introduction -- 2.
Corresponding notations and definitions -- 3. The Proposed
Comparison Function -- 4. Numerical Examples -- 5.
Conclusion -- References
505 8 An Inclusion Measure for Rough Sets Z. Deng and Y. Xu --
1. Introduction -- 2. A New Inclusion Measure -- 3.
Relations to Other Concepts -- References -- A Semantic
Model of Linguistic Truth Variable Z. Wu and Y. Xu -- 1.
Introduction -- 2. A Semantic Model of Linguistic Truth
Variable -- 2.1 A Linguistic Truth Variable Team -- 2.2
Construct A Complete Linguistic Truth Variable Team -- 2.3
A Semantic Model of Linguistic Truth Variable -- 3.
Example -- 4. Conclusion -- References -- A Multi-
Attribute Evaluating Approach based on Analysis and
Learning of Attribute Coordinate J. Feng and N. Lu -- 1.
Introduction -- 2. Local most satisfactory solution -- 3.
Local most satisfactory solutions set (or mind standard
level) -- 4. Local and Global satisfactory degree problem
-- 5. Concluding remarks -- Reference -- PART 2: KNOWLEDGE
DISCOVERY AND DECISION MAKING -- Mining Causality from
Imperfect Data L. J. Mazlack -- 1. Introduction -- 1.1.
Data Mining, Introduction -- 1.2. Naive Association Rules
Can Lead To Bad Decisions -- 2. Causality -- 3.
Recognizing Causality Basics -- 4. Problems With Using
Probability -- 5. Epilogue -- Acknowledgment -- References
-- Discovering Frequent Patterns in Sequence Groups J. W.
Guan, D.A. Bell, and D. Y. Liu -- 1 Introduction -- 2
Sequences and Containing Relations -- 3 Frequent Patterns
Contained in a Sequence Group -- 4 Theorems for Finding
Patterns -- 5 Summary and Future Work -- References --
Empirically Validating an Adapted Classification Based on
Associations Algorithm on UCI Data D. Janssens, Y. Lun, G.
Wets, G. Chen, and T: Brijs -- 1. Introduction -- 2.
Classification based on associations -- 3. Identifying
weaknesses and proposing adaptations to CBA -- 3.1. Limits
of conditional probability (confidence) -- 3.2. Intensity
of implication -- 4. Empirical section -- 5. Conclusion --
Acknowledgement -- References
505 8 A Method for Association Rules Mining J. Ma, G. Chen, E.
E. Kerre, and D. Ruan
520 Key Features:Investigation of new developments and
technical limits on applied computational
intelligenceDemonstration of added value of applied
computational intelligencePresentation of direct and
potential real world applications of applied computational
intelligence
588 Description based on publisher supplied metadata and other
sources
590 Electronic reproduction. Ann Arbor, Michigan : ProQuest
Ebook Central, 2020. Available via World Wide Web. Access
may be limited to ProQuest Ebook Central affiliated
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650 0 Computational intelligence -- Congresses.;Fuzzy logic --
Congresses.;Nuclear engineering -- Mathematics --
Congresses
655 4 Electronic books
700 1 D'hondt, Pierre
700 1 Kerre, Etienne E
700 1 Nachtegael, Mike
700 1 Kerre, Etienne E
776 08 |iPrint version:|aRuan, Da|tApplied Computational
Intelligence : Proceedings of the 6th International FLINS
Conference, Blankenberge, Belgium, September 1-3, 2004
|dSingapore : World Scientific Publishing Co Pte Ltd,c2004
|z9789812388735
856 40 |uhttps://ebookcentral.proquest.com/lib/sinciatw/
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