
Evaluation and Decision Models by Denis Bouyssou
1. 1 Motivations Deciding is a very complex and difficult task. Some people even argue that our ability to make decisions in complex situations is the main feature that distinguishes us from animals (it is also common to say that laughing is the main difference). Nevertheless, when the task is too complex or the interests at stake are too important, it quite often happens that we do not know or we are not sure what to decide and, in many instances, we resort to a decision support technique: an informal one-we toss a coin, we ask an oracle, we visit an astrologer, we consult an expert, we think-or a formal one. Although informal decision support techniques can be of interest, in this book, we will focus on formal ones. Among the latter, we find some well-known decision support techniques: cost-benefit analysis, multiple criteria decision analysis, decision trees, . . . But there are many other ones, sometimes not presented as decision support techniques, that help making decisions. Let us cite but a few examples. - When the director of a school must decide whether a given student will pass or fail, he usually asks each teacher to assess the merits of the student by means of a grade. The director then sums the grades and compares the result to a threshold. - When a bank must decide whether a given client will obtain a credit or not, a technique, called credit scoring, is often used.-
Designing Competitive Electricity Markets
-
Principles of Forecasting
-
Optimal Search for Moving Targets
-
An Introduction to Robust Combinatorial Optimization
-
Handbook of Markov Decision Processes
-
Computational Probability
-
Handbook of Stochastic Models and Analysis of Manufacturing System Operations
-
Modeling Uncertainty
-
Analysis and Modeling of Manufacturing Systems
-
Military Operations Research
-
Stochastic Benchmarking
-
Constraint-Based Scheduling
-
Quantitative Models for Supply Chain Management
-
Health Care Benchmarking and Performance Evaluation
-
Elicitation
-
Linear Programming
-
Linear and Nonlinear Programming
-
Markovian Demand Inventory Models
-
Building Supply Chain Excellence in Emerging Economies
-
Mathematical Programming and Financial Objectives for Scheduling Projects
-
Judgment in Predictive Analytics
-
Fundamentals of Traffic Simulation
-
Benchmarking with DEA, SFA, and R
-
Outline of Complex Systems Management Theory— Based on Irreversibility of Reductionism Thinking
-
Handbook of Semidefinite Programming
-
Quantitative Risk Analysis of Air Pollution Health Effects
-
Robust Optimization in Electric Energy Systems
-
Making Better Decisions
-
The Theory and Practice of Revenue Management
-
Multicriteria Decision Making
-
Optimal Inventory Modeling of Systems
-
Queueing Networks
-
Handbook on Data Envelopment Analysis
-
Process Optimization
-
Spare Parts Inventory Control under System Availability Constraints
-
Applied Linear Regression for Business Analytics with R
-
Economics of Power Systems
-
Handbook of Quantitative Supply Chain Analysis
-
Multicriterion Decision in Management
| SKU | Unavailable |
| ISBN 13 | 9780792372509 |
| ISBN 10 | 0792372506 |
| Title | Evaluation and Decision Models |
| Author | Denis Bouyssou |
| Series | International Series In Operations Research And Management Science Ser |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Kluwer Academic Publishers |
| Year published | 2000-11-30 |
| Number of pages | 274 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































