Multiple Criteria Analysis for Agricultural Decisions, Second Edition (Developments in Agricultural Economics)

multiple criteria analysis for agricultural decisions, second edition (developments in agricultural economics)

more information about Multiple Criteria Analysis for Agricultural Decisions, Second Edition (Developments in Agricultural Economics)

Multiple Criteria Analysis for Agricultural Decisions, Second Edition (Developments in Agricultural Economics)

Editorial Reviews
Review
G. Herath
...The book fills a longstanding void and is a useful addition to any library.
Ecological Economics

Book Description
This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts. The first part, comprising two chapters, is philosophical in nature and deals with the concepts that define the underlying structure of the MCDM paradigm. The second part is the largest part consisting of five chapters, each of which presents the logic of a specific MCDM technique, and demonstrates how it can be used to model a particular decision problem. In the final part, some selected applications of the MCDM techniques to agricultural problems are presented and thus reinforce the development of an understanding of the MCDM paradigm.



The book has been designed for use at different levels: as a textbook for final year undergraduate and postgraduate courses in modelling for decision-making; as a manual for researchers and practising modellers; and, as general reference on the application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily follow the contents of this book.

Multiple Criteria Analysis for Agricultural Decisions, Second Edition (Developments in Agricultural Economics),C. Romero,T. Rehman,Elsevier Science,0444503439,Agriculture,Agriculture - General,Decision making,Economic aspects,Environmental Engineering & Technology,Environmental Science,Forests & Forestry,Science/Mathematics,Technology,Technology & Industrial Arts,Agriculture & related industries,Econometrics,Management decision making,Technology / Agriculture & Animal Husbandry

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