Computational Intelligence in Complex Decision Systems (Record no. 195234)
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000 -LEADER | |
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fixed length control field | 03497nam a22004455i 4500 |
001 - CONTROL NUMBER | |
control field | 978-94-91216-29-9 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20160302170422.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 120301s2010 fr | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789491216299 |
-- | 978-94-91216-29-9 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.2991/978-94-91216-29-9 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q334-342 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TJ210.2-211.495 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | TJFM1 |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM004000 |
Source | bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Ruan, Da. |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Computational Intelligence in Complex Decision Systems |
Medium | [electronic resource] / |
Statement of responsibility, etc. | by Da Ruan. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Paris : |
Name of producer, publisher, distributor, manufacturer | Atlantis Press, |
Date of production, publication, distribution, manufacture, or copyright notice | 2010. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XIV, 388p. |
Other physical details | online resource. |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS | |
File type | text file |
Encoding format | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Atlantis Computational Intelligence Systems, |
International Standard Serial Number | 1875-7650 ; |
Volume/sequential designation | 2 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Computational Intelligence: Past, Today, and Future -- Uncertainty in Dynamically Changing Input Data -- Decision Making under Uncertainty by Possibilistic Linear Programming Problems -- Intelligent DecisionMaking in Training Based on Virtual Reality -- A Many-Valued Temporal Logic and Reasoning Framework for Decision Making -- A Statistical Approach to Complex Multi-Criteria Decisions -- A Web Based Assessment Tool via the Evidential Reasoning Approach -- An Intelligent Policy Simulator for Supporting Strategic Nuclear Policy Decision Making -- Computing withWords for Hierarchical and Distributed Decision-Making -- Realizing Policies by Projects Using Fuzzy Multiple Criteria Decision Making -- Evolutionary ComputationMethods for Fuzzy Decision Making on Load Dispatch Problems -- Intelligent Decision-Making for a Smart Home Environment with Multiple Occupants -- Applying a Choquet Integral Based Decision Making Approach to Evaluate Agile Supply Chain Strategies. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial Intelligence (incl. Robotics). |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer eBooks |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Atlantis Computational Intelligence Systems, |
International Standard Serial Number | 1875-7650 ; |
Volume number/sequential designation | 2 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://dx.doi.org/10.2991/978-94-91216-29-9">http://dx.doi.org/10.2991/978-94-91216-29-9</a> |
912 ## - | |
-- | ZDB-2-SCS |
No items available.