| Organization & Editorial Activities: Edited Books |
Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
H. Bustince, F. Herrera, J. Montero (Eds.)
Table of Contents
PART I. Foundations: Representation and Aggregation
1. Extending Fuzzy Sets Representation
Type-2 fuzzy logic and the modelling of uncertainty
S. Coupland and R. John
p. 3My personal view on intuitionistic Fuzzy sets theory
K. T. Atanassov
p. 23Hybridization of fuzzy and rough sets: present and future
E. C.C. Tsang, Q.C. Chen, S. Zhao, D. S. Yeung, X. Wang
p. 45An overview of computing with words using label semantics
J. Lawry
p. 66
2. Aggregation
On the construction of models based on fuzzy measures and integrals
V. Torra
p. 89Interpolatory type construction of general aggregation operators
G. Beliakov, T. Calvo
p. 99A review of aggregation functions
R. Mesiar, A. Kolesarova, T. Calvo, M. Komornikova
p. 121Identification of weights in aggregation operators
T. Calvo, G. Beliakov
p. 145Linguistic aggregation operators: An overview
Z. Xu
p. 163Aggregation operators in interval-valued fuzzy and Atanassov's intuitionistic fuzzy set theory
G. Deschrijver, E. E. Kerre
p. 183
Part II. From Decision Making to Data Mining, Web Intelligence and Computer Vision
3. Decision Making
Fuzzy preference modelling: fundamentals and recent advances
J. Fodor, B.de Baets
p. 205Preferences and consistency issues in group decision making
F. Chiclana, E. Herrera, S. Alonso, R. Marquez de Pereira
p. 216Fuzzy set extensions of the dominance based rough set approach
S. Greco, B. Matarazzo, R. Slowinski
p. 246On group decision making, consensus reaching, voting and voting paradoxes under fuzzy preferences and a fuzzy majority: a survey and some perspectives
J. Kacprzyk, S. Zadrozny, M. Fedrizzi, H. Nurmi
p. 259Extension of some voting systems to the field of gradual preferences
B. Llamazares, J. L. García-Lapresta
p. 292A linguistic decision based model applied to olive oil sensory evaluation
L. Martínez, L. G. Pérez, J. Liu
p. 311Atanassov's intuitionistic fuzzy sets as a promising tool for extended fuzzy decision making models
E. Szmidt and J. Kacprzyk
p. 330
4. Data Mining
Fuzzy methods for data mining and machine learning: state of the art and prospects
E. Hüllermeier
p. 355Pattern classification with linguistic rules
H. Ishibuchi and Y. Nojima
p. 375An overview of mining fuzzy association rules
T.-P. Hong and Y.-C. Lee
p. 395Subgroup discovery with linguistic rules
M. J. del Jesus, P. González, F. Herrera
p. 410Fuzzy prototypes: from a cognitive view to a machine learning principle
M.-J. Lesot, M. Rifqi and B. Bouchon-Meunier
p. 431Improving fuzzy classification by means of a segmentation algorithm
A. del Amo, D. Gómez, J. Montero, G. S. Biging
p. 454FIS2JADE :A new vista for fuzzy-oriented Agents
V. Loia and M. Veniero
p. 474An overview on the approximation quality based on rough-fuzzy hybrids
V.-N. Huynh, T.-B. Hoand and Y. Nakamori
p. 494
5. Web Intelligence
Fuzzy sets in information retrieval: state of the art and research trends
G. Pasi
p. 519Fuzzy sets and web meta-search engines
J. A. Olivas
p. 538Fuzzy set techniques in e-service applications
J. Lu, D. Ruan, G. Zhang
p. 555A fuzzy linguistic recommender system to advice research resources in University digital libraries
E. Herrera-Viedma, C. Porcel, A. G. López-Herrera, and S. Alonso
p. 570
6. Computer Vision
Fuzzy measures in image processing
T. Chaira
p. 593Type II fuzzy image segmentation
H. R. Tizhoosh
p. 613Image threshold computation by modelizing knowledge/unknowledge by means of Atanassov's intuitionistic fuzzy sets
H. Bustince, M.l Pagola, P. Melo-Pinto, E. Barrenechea, and P. Couto
p. 627Colour image comparison using vector operators
D. Van der Weken, V. De Witte, M. Nachtegael, S. Schulte and E. Kerre
p. 645A fuzzy-based automated cells detection system for color pap smear tests - FACSDS-
P. Sobrevilla, E. Montseny and E. Lerma
p. 663
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