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Fuzzy Sets and Their Extensions: Representation, Aggregation and Models

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Cover of 'Fuzzy Sets and Their Extensions: Representation, Aggregation and Models'

Table of Contents

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    Book Overview
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    Chapter 1 Type-2 Fuzzy Logic and the Modelling of Uncertainty
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    Chapter 2 My Personal View on Intuitionistic Fuzzy Sets Theory
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    Chapter 3 Hybridization of Fuzzy and Rough Sets: Present and Future
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    Chapter 4 An Overview of Computing with Words using Label Semantics
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    Chapter 5 On the Construction of Models Based on Fuzzy Measures and Integrals
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    Chapter 6 Interpolatory Type Construction of General Aggregation Operators
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    Chapter 7 A Review of Aggregation Functions
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    Chapter 8 Identification of Weights in Aggregation Operators
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    Chapter 9 Linguistic Aggregation Operators: An Overview
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    Chapter 10 Aggregation Operators in Interval-valued Fuzzy and Atanassov’s Intuitionistic Fuzzy Set Theory
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    Chapter 11 Fuzzy Preference Modelling: Fundamentals and Recent Advances
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    Chapter 12 Preferences and Consistency Issues in Group Decision Making
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    Chapter 13 Fuzzy Set Extensions of the Dominance-Based Rough Set Approach
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    Chapter 14 On Group Decision Making, Consensus Reaching, Voting and Voting Paradoxes under Fuzzy Preferences and a Fuzzy Majority: A Survey and some Perspectives
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    Chapter 15 Extension of Some Voting Systems to the Field of Gradual Preferences
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    Chapter 16 A Linguistic Decision Based Model Applied to Olive Oil Sensory Evaluation
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    Chapter 17 Atanassov’s Intuitionistic Fuzzy Sets as a Promising Tool for Extended Fuzzy Decision Making Models
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    Chapter 18 Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects
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    Chapter 19 Pattern Classification with Linguistic Rules
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    Chapter 20 An Overview of Mining Fuzzy Association Rules
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    Chapter 21 Subgroup Discovery with Linguistic Rules
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    Chapter 22 Fuzzy Prototypes: From a Cognitive View to a Machine Learning Principle
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    Chapter 23 Improving Fuzzy Classification by Means of a Segmentation Algorithm
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    Chapter 24 FIS2JADE: A New Vista for Fuzzy-oriented Agents
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    Chapter 25 An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids
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    Chapter 26 Fuzzy Sets in Information Retrieval: State of the Art and Research Trends
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    Chapter 27 Fuzzy Sets and Web Meta-search Engines
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    Chapter 28 Fuzzy Set Techniques in E-Service Applications
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    Chapter 29 A Fuzzy Linguistic Recommender System to Advice Research Resources in University Digital Libraries
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    Chapter 30 Fuzzy Measures in Image Processing
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    Chapter 31 Type II Fuzzy Image Segmentation
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    Chapter 32 Image Threshold Computation by Modelizing Knowledge/Unknowledge by Means of Atanassov’s Intuitionistic Fuzzy Sets
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    Chapter 33 Colour Image Comparison Using Vector Operators
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    Chapter 34 A Fuzzy-based Automated Cells Detection System for Color Pap Smear Tests –-FACSDS–
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Fuzzy Sets and Their Extensions: Representation, Aggregation and Models
Published by
Springer Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-73723-0
978-3-54-073722-3, 978-3-54-073723-0

Humberto Bustince, Francisco Herrera, Javier Montero

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 3%
Portugal 1 3%
Brazil 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Student > Master 6 17%
Researcher 5 14%
Professor 3 8%
Student > Postgraduate 2 6%
Other 9 25%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 19 53%
Engineering 6 17%
Mathematics 5 14%
Decision Sciences 2 6%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 3 8%