Decision making and soft computing : proceedings of the 11Th international flins conference / Ronei Marcos de Moraes [and three others].

Format:

Book

Conference/Event

Contributor:

de Moraes, Ronei Marcos, editor.

Conference Name:

International FLINS Conference (11th : 2014 : Joao Pessoa, Brazil)

Series:

World Scientific proceedings series on computer engineering and information science ; 9.

World Scientific Proceedings Series on Computer Engineering and Information Science ; 9

Language:

English

Subjects (All):

Decision support systems--Data processing.

Decision support systems.

Decision support systems--Research.

Physical Description:

1 online resource (779 p.)

Place of Publication:

Singapore : World Scientific Publishing Co. Pte. Ltd., 2014.

Language Note:

English

Summary:

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 11th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. Sample Chapter(s). Foreword (56 KB). The Contribution of Fuzzy Sets to Decision Sciences (132 KB). Contents: Invited Lectures: The Contribution of Fuzzy Sets to Decision Sciences (D Dubois); Granular Fuzzy Systems: A New Dir

Contents:

Foreword; CONTENTS; INVITED LECTURES; The Contribution of Fuzzy Sets to Decision Sciences; 1. Decision in a fuzzy environment: the state of the art; 2. Some prospective issues in fuzzy decision analysis; References; Granular Fuzzy Systems: A New Direction in Soft Computing and Human Centric Decision-Making; 1. Introduction; 2. Towards building information granules - the principle of justifiable granularity; 3. Allocation of information granularity- an emergence of granular fuzzy models; 4. Allocation of information granularity- an emergence of granular fuzzy models

5. Allocation of information granularity- an emergence of granular fuzzy models6. Conclusions; References; Some Approaches Towards Lattice Computing in Mathematical Morphology and Computational Intelligence; PART 1. DECISION MAKING AND DECISION SUPPORT SYSTEMS; Software Architectural Style for Decision Support Systems; 1. Introduction; 2. Related Works; 3. Decision Support System Architectural Style; 4. Conclusions; References; Early Collection System Design Using Fuzzy Rule Based Inference; 1. Introduction; 2. Debt Collection Systems; 3. Rule Based Systems; 4. A Real Case Study

5. ConclusionReferences; A New Architecture for a Spatio-Temporal Decision Support System for Epidemiological Purposes; 1. Introduction; 2. Methodology; 3. Application and Results; 4. Conclusions; References; Determining and Prioritizing Main Factors of Supplier Reliability; 1. Introduction; 2. Literature Review; 3. Reliability Factors; 4. The Method; 5. Application; References; Fuzzy Laplace Distribution with VaR Applied in Investment Portfolio; 1. Introduction; 2. Possibilistic Variance and Mean Value; 3. Portfolio Model under Constraints of VaR and Risk Free Investment

4. Fuzzy Laplace Distribution5. Numerical Example; 6. Conclusion; References; A Multicriteria Supplier Selection Model Using Hesitant Fuzzy Linguistic Term Sets; 1. Introduction; 2. Hesitant Fuzzy Linguistic Term Sets; 3. Multicriteria Hesitant Fuzzy Sets Method; 4. Application; 5. Conclusion; References; A Weight Determination Method of Subjective Score in Group Decision; 1. Introduction; 2. Weight Determination Method Based on Distance between Subjective Score and the Average; 2.1. Weight Determination; 2.2. Calculation of Weighted Score; 3. Case Study; 4. Conclusion; Acknowledgment

ReferencesEvaluation of Medical Devices Using Fuzzy Topsis with Type-2 Fuzzy Numbers; 1. Introduction; 2. Literature Review: Type-2 Fuzzy Numbers and Fuzzy Multi-Criteria Decision Making; 3. Type-2 Fuzzy Numbers and Ranking; 4. Proposed Fuzzy TOPSIS Methodology; 5. Criteria for Selection of Medical Equipments and Application; 6. Conclusions; Acknowledgments; References; Employing an Interval Type-2 Fuzzy Topsis Method for Knowledge Management Tool Evaluation; 1. Introduction; 2. Evaluation Criteria to Assess Knowledge Management Tools

3. Interval Type-2 Fuzzy TOPSIS Method in a Group Decision Making Setting

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed August 19, 2014).

ISBN:

981-4619-99-X