Get Free Shipping on orders over $89
Multiple Criteria And Multiple Constraint Levels Linear Programming : Concepts, Techniques And Applications - Yong Shi
eTextbook alternate format product

Instant online reading.
Don't wait for delivery!

Go digital and save!

Multiple Criteria And Multiple Constraint Levels Linear Programming

Concepts, Techniques And Applications

By: Yong Shi

Hardcover | 2 July 2001

At a Glance

Hardcover


RRP $225.99

$203.75

10%OFF

or 4 interest-free payments of $50.94 with

 or 

Ships in 15 to 25 business days

This volume introduces multiple criteria and multiple constraint levels linear programming (MC2LP), which is an extension of linear programming (LP) and multiple criteria linear programming (MCLP). Over a decade, the author and a group of researchers from the USA, China, Korea, Germany and Hungary have been working on the theory and applications of MC2LP problems. This volume integrates their main research results, ranging from theoretical bases to broad areas of real-world applications. The theoretical bases include the formulation of MC2LP; integer MC2LP and MC2 transportation model; fuzzy MC2LP and fuzzy duality of MC2LP; optimal-system designs and contingency plans; MC2 decision support system; and MC2 computer software development. The application areas are accounting, management-information systems, production planning and telecommunications management. This book serves as a seminar text for both undergraduates and graduates who have a linear algebra or equivalent background. For practitioners, it should help in handling LP type problems in multiple-decision-making environment.
Industry Reviews
.,." will interest researchers working on extensions and generalizations of LP models and pivoting-based algorithms."

More in Neural Networks & Fuzzy Systems

Intelligent Estimation : A Soft Computing Paradigm - Jitendra R. , India) Raol

RRP $252.00

$219.75

13%
OFF
Mathematical Foundations of Deep Learning : Theory and Algorithms - Xiaojing Ye
Computational Approaches to Emotion in Artificial Psychology - Alessandro Grecucci
Artificial Intelligence Systems in Environmental Engineering - Azeem  Irshad