Multiple Criteria Analysis for Agricultural Decisions
Romero, C.; Rehman, T.
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Table of contents
- Cover
- Contentsvii
- Prefacexi
- Acknowledgementsxiii
- Part one: Multiple criteria in agricultural decisions1
- Chapter 1. Main features of the multiple criteria decision-making paradigm3
- Criticism of the traditional paradigm for decision-making3
- Economic versus technological decisions4
- Multiple objectives and goals in agricultural economics7
- Historical origins of the MCDM paradigm8
- Plan of the book10
- Suggestions for further reading14
- Chapter 2. Some basic concepts15
- Attributes, objectives and goals15
- Distinction between goals and constraints16
- Pareto optimality17
- Trade-offs between decision-making criteria18
- A first approximation of the main MCDM approaches19
- Suggestions for further reading20
- Part two: Multiple criteria decision-making techniques21
- Chapter 3. Goal programming23
- Introductory example for handling multiple criteria in a farm planning model23
- The role of deviational variables in goal programming26
- Lexicographic goal programming27
- Sensitivity analysis in LGP30
- The graphical method for solving an LGP problem31
- The sequential linear method for LGP33
- A brief comment on other LGP algorithms36
- Weighted goal programming37
- A critical assessment of goal programming38
- Some extensions of goal programming41
- Suggestions for further reading45
- Chapter 4. Multiobjective programming47
- An approximation of the multiobjective programming problem47
- The pay-off matrix in MOP51
- The constraint method52
- The weighting method54
- The noninferior set estimation method (NISE)55
- Multigoal programming58
- Some issues related to the use of MOP techniques59
- Suggestions for further reading60
- Chapter 5. Compromise programming63
- An intuitive treatment of the concept of distance measures63
- A discrete approximation of the best-compromise solution66
- Compromise programming – a continuous setting68
- The method of the displaced ideal71
- Pros and cons of GP, MOP and CP74
- Relationships between different MCDM approaches75
- Suggestions for further reading78
- Chapter 6. The interactive multiple criteria decision-making approach79
- Structure of an interactive MCDM process80
- The STEM method81
- The Zionts and Wallenius method88
- Interactive multiple goal programming92
- An assessment of interactive MCDM approaches97
- Suggestions for further reading100
- Chapter 7. Risk and uncertainty and the multiple criteria decision-making techniques103
- Risk programming techniques in agricultural planning within an MCDM framework103
- Compromise-risk programming108
- Game theory models and the MCDM framework110
- Games with multiple goals and goal programming113
- Compromise games116
- Suggestions for further reading118
- Part three: Case studies121
- Chapter 8. A compromise programming model for the agrarian reform programme in Andalusia, Spain123
- Background124
- Trade-off curves for seasonal labour, employment and gross margin126
- Compromise sets129
- An approximation of the efficient set in a three-dimensional objectives space132
- Concluding comments133
- Chapter 9. Livestock ration formulation and multiple criteria decision-making techniques135
- A livestock ration formulation example137
- Ration formulation as a WGP problem138
- Ration formulation as an LGP problem142
- Ration formulation as an MOP problem146
- Chapter 10. Livestock ration formulation via goal programming with penalty functions149
- Penalty functions in diet formulation149
- Diet formulation as a WGP model with penalty functions152
- Diet formulation as an LGP model with penalty functions157
- An assessment160
- Chapter 11. Optimum fertiliser use via goal programming with penalty functions163
- References169
- Index185
- Vendor Elsevier S & T
- SKU 9780444503435
- ISBN-13 9780080537085
- Author Romero, C.; Rehman, T.
- Edition 2nd
- Category Technology & Engineering
- Subject General
Do you have questions about this book?
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.
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