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Umfang: 1 online resource

ISBN: 9781118522509 , 1118522508 , 9781118522516 , 1118522516 , 9781299159532 , 1299159532

Inhalt: Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handlin.

Anmerkung: CONTRIBUTIONS OF INTELLIGENT TECHNIQUES IN MULTICRITERIA DECISION AIDING -- , Computational intelligence techniques for multicriteria decision aiding: An overview / , Introduction -- , MCDA paradigm -- , Modeling process -- , Methodological approaches -- , Computational intelligence in MCDA -- , Statistical learning and data mining -- , Fuzzy modeling -- , Metaheuristics -- , Conclusions -- , References -- , Intelligent decision support systems / , Introduction -- , Fundamentals of human decision making -- , Decision support systems -- , Intelligent decision support systems -- , Artificial neural networks for intelligent decision support -- , Fuzzy logic for intelligent decision support -- , Expert systems for intelligent decision support -- , Evolutionary computing for intelligent decision support -- , Intelligent agents for intelligent decision support -- , Evaluating intelligent decision support systems -- , Determining evaluation criteria -- , Multi-criteria model for IDSS assessment -- , Summary and future trends -- , Acknowledgment -- , References -- , INTELLIGENT TECHNOLOGIES FOR DECISION SUPPORT AND PREFERENCE MODELING -- , Designing distributed multi-criteria decision support systems for complex and uncertain situations / , Introduction -- , Example applications -- , Key challenges -- , Making trade-offs: Multi-criteria decision analysis -- , Multi-attribute decision support -- , Making trade-offs under uncertainty -- , Exploring the future: Scenario-based reasoning -- , Making robust decisions: Combining MCDA and SBR -- , Decisions under uncertainty: The concept of robustness -- , Combining scenarios and MCDA -- , Collecting, sharing and processing information: A distributed approach -- , Keeping track of future developments: Constructing comparable scenarios -- , Respecting constraints and requirements: Scenario management -- , Assisting evaluation: Assessing large numbers of scenarios -- , Discussion -- , Conclusion -- , Acknowledgment -- , References -- , Preference representation with ontologies / , Introduction -- , Ontology-based preference models -- , Maintaining the user profile up to date -- , Decision making methods exploiting the preference information stored in ontologies -- , Recommendation based on aggregation -- , Recommendation based on similarities -- , Recommendation based on rules -- , Discussion and open questions -- , Acknowledgments -- , References -- , DECISION MODELS -- , Neural networks in multicriteria decision support / , Introduction -- , Basic concepts of neural networks -- , Neural networks for intelligent decision support -- , Basics in multicriteria decision aid -- , MCDM problems -- , Solutions of MCDM problems -- , Neural networks and multicriteria decision support -- , Review of neural network applications to MCDM problems -- , Discussion -- , Summary and conclusions -- , References -- , Rule-based approach to multicriteria ranking / , Introduction -- , Problem setting -- , Pairwise comparison table -- , Rough approximation of outranking and nonoutranking relations -- , Induction and application of decision rules -- , Exploitation of preference graphs -- , Illustrative example -- , Summary and conclusions -- , Acknowledgment -- , References -- , Appendix -- , About the application of evidence theory in multicriteria decision aid / , Introduction -- , Evidence theory: Some concepts -- , Knowledge model -- , Combination -- , Decision making -- , New concepts in evidence theory for MCDA -- , First belief dominance -- , RBBD concept -- , Multicriteria methods modeled by evidence theory -- , Evidential reasoning approach -- , DS/AHP -- , DISSET -- , choice model inspired by ELECTRE I -- , ranking model inspired by Xu et al.'s method -- , Discussion -- , Conclusion -- , References -- , MULTIOBJECTIVE OPTIMIZATION -- , Interactive approaches applied to multiobjective evolutionary algorithms / , Introduction -- , Methods analyzed in this chapter -- , Basic concepts and notation -- , Multiobjective optimization problems -- , Classical interactive methods -- , MOEAs based on reference point methods -- , weighted distance metric -- , Light beam search combined with NSGA-II -- , Controlling the accuracy of the Pareto front approximation -- , Light beam search combined with PSO -- , preference relation based on a weighted distance metric -- , Chebyshev preference relation -- , MOEAs based on value function methods -- , Progressive approximation of a value function -- , Value function by ordinal regression -- , Miscellaneous methods -- , Desirability functions -- , Conclusions and future work -- , Acknowledgment -- , References -- , Generalized data envelopment analysis and computational intelligence in multiple criteria decision making / , Introduction -- , Generalized data envelopment analysis -- , Basic DEA models: CCR, BCC and FDH models -- , GDEA model -- , Generation of Pareto optimal solutions using GDEA and computational intelligence -- , GDEA in fitness evaluation -- , GDEA in deciding the parameters of multi-objective PSO -- , Expected improvement for multi-objective optimization using GDEA -- , Summary -- , References -- , Fuzzy multiobjective optimization / , Introduction -- , Solution concepts for multiobjective programming -- , Interactive multiobjective linear programming -- , Fuzzy multiobjective linear programming -- , Interactive fuzzy multiobjective linear programming -- , Interactive fuzzy multiobjective linear programming with fuzzy parameters -- , Interactive fuzzy stochastic multiobjective linear programming -- , Related works and applications -- , References -- , V , APPLICATIONS IN MANAGEMENT AND ENGINEERING -- , Multiple criteria decision aid and agents: Supporting effective resource federation in virtual organizations / , Introduction -- , intuition of MCDA in multi-agent systems -- , Resource federation applied -- , Describing the problem in a cloud computing context -- , Problem modeling -- , Assessing agents' value function for resource federation -- , illustrative example -- , Conclusions -- , References -- , Fuzzy analytic hierarchy process using type-2 fuzzy sets: An application to warehouse location selection / , Introduction -- , Multicriteria selection -- , ELECTRE method -- , PROMETHEE -- , TOPSIS -- , weighted sum model method -- , Multi-attribute utility theory -- , Analytic hierarchy process -- , Literature review of fuzzy AHP -- , Buckley's type-1 fuzzy AHP -- , Type-2 fuzzy sets -- , Type-2 fuzzy AHP -- , application: Warehouse location selection -- , Conclusion -- , References -- , Applying genetic algorithms to optimize energy efficiency in buildings / , Introduction -- , State-of-the-art review -- , example case study -- , Basic principles and problem definition -- , Decision variables -- , Decision criteria -- , Decision model -- , Development and application of a genetic algorithm for the example case study -- , Development of the genetic algorithm -- , Application of the genetic algorithm, analysis of results and discussion -- , Conclusions -- , References -- , Nature-inspired intelligence for Pareto optimality analysis in portfolio optimization / , Introduction -- , Literature review -- , Methodological issues -- , Pareto optimal sets in portfolio optimization -- , Pareto efficiency -- , Mathematical formulation of the portfolio optimization problem -- , Computational results -- , Experimental setup -- , Efficient frontier -- , Conclusion -- , References.

Weitere Ausg.: Print version: Multicriteria Decision Aid and Artificial Intelligence : Links, Theory and Applications. New York : Wiley, c2013. ISBN 9781119976394.

Sprache: Englisch

Schlagwort(e): Electronic books. ; Electronic books. ; Electronic books.

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118522516

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118522516

URL: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118522516