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Random-Like Multiple Objective Decision Making
(Englisch)
Lecture Notes in Economics and Mathematical Systems 647
Jiuping Xu & Liming Yao

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Random-Like Multiple Objective Decision Making

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Produktbeschreibung

Numerous multi-objective programming models with random-like parameters help readers to solve realistic problemsHybrid intelligent algorithms help to solve multi-objective programming problems with random-like coefficientsPractical applications show a realistic environment of the modelsA special chapter on the methodological system for RLMODM prepares readers for the future research

Numerous multi-objective programming models with random-like parameters help readers to solve realistic problems

Hybrid intelligent algorithms help to solve multi-objective programming problems with random-like coefficients

Practical applications show a realistic environment of the models

A special chapter on the methodological system for RLMODM prepares readers for the future research

Includes supplementary material: sn.pub/extras


What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some deillegalscriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.

 

 



Random Set Theory.- Random Multiple Objective Decision Making.- Bi-random Multiple Objective Decision Making.- Random Fuzzy Multiple Objective Decision Making.- Random Rough Multiple Objective Decision Making.- Methodological System for RLMODM.- Some Mathematical Aids.- Some Procedures.

People face multiple objectives and need to make decisions in a state of uncertainty on a regular basis. This volume shows how random-like multiple objective decision making can help readers deal with this problem.

What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some deillegalscriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.




Inhaltsverzeichnis



Random Set Theory.- Random Multiple Objective Decision Making.- Bi-random Multiple Objective Decision Making.- Random Fuzzy Multiple Objective Decision Making.- Random Rough Multiple Objective Decision Making.- Methodological System for RLMODM.- Some Mathematical Aids.- Some Procedures.


Klappentext

What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some deillegalscriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.
 

 




Numerous multi-objective programming models with random-like parameters help readers to solve realistic problems

Hybrid intelligent algorithms help to solve multi-objective programming problems with random-like coefficients

Practical applications show a realistic environment of the models

A special chapter on the methodological system for RLMODM prepares readers for the future research

Includes supplementary material: sn.pub/extras

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