Get Free Shipping on orders over $79
Interactive Multiobjective Decision Making Under Uncertainty - Hitoshi Yano

Interactive Multiobjective Decision Making Under Uncertainty

By: Hitoshi Yano

Paperback | 31 March 2021 | Edition Number 1

At a Glance

Paperback


RRP $113.99

$98.99

13%OFF

or 4 interest-free payments of $24.75 with

 or 

Ships in 3 to 5 business days

Recently, many books on multiobjective programming have been published. However, only a few books have been published, in which multiobjective programming under the randomness and the fuzziness are investigated. On the other hand, several books on multilevel programming have been published, in which multiple decision makers are involved in hierarchical decision situations. In this book, we introduce the latest advances in the field of multiobjective programming and multilevel programming under uncertainty. The reader can immediately use proposed methods to solve multiobjective programming and multilevel programming, which are based on linear programming or convex programming technique. Organization of each capter is summarized as follows. In Chapter 2, multiobjective programming problems with random variables are formulated, and the corresponding interactive algorithms are developed to obtain a satisfactory solution, in which the fuzziness of human''s subjective judgment for permission levels are considered. In Chapter 3, multiobjective programming problems with fuzzy random variables are formulated, and the corresponding interactive algorithms are developed to obtain a satisfactory solution, in which not only the uncertainty of fuzzy random variables but also the fuzziness of human''s subjective judgment for permission levels are considered. In Chapter 4, multiobjective multilevel programming is discussed, and the interactive algorithms are developed to obtain a satisfactory solution, in which the hierarchical decision structure of multiple decision makers is reflected. In Chapter 5, two kinds of farm planning problems are solved by applying the proposed method, in which cost coefficients of crops are expressed by random variables.

More in Automatic Control Engineering

AI and Digital Technology for Oil and Gas Fields - Niladri Kumar  Mitra
Applications of AI for Interdisciplinary Research - Sukhpal Singh Gill
Applied Swarm Intelligence - Yaniv  Altshuler

RRP $114.99

$99.75

13%
OFF
Back to Statistics : Tail-Aware Control Performance Assessment - Pawel D. Domanski
Barrier Engineering : Models and Methods for Technical Safety - Yiliu Liu
Computer Vision : Challenges, Trends, and Opportunities - Matthew Turk