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Simon French

Bio: Simon French is an academic researcher from University of Warwick. The author has contributed to research in topics: Decision analysis & Decision support system. The author has an hindex of 45, co-authored 172 publications receiving 10626 citations. Previous affiliations of Simon French include University of Leeds & University of Manchester.


Papers
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Book
31 Aug 1996
TL;DR: This chapter discusses three Operational Approaches for Progressing Beyond the Description Problematic: Modeling Comprehensive Preferences, Coherent Criterion Family, and Specific Difficulties in Choice, Sorting, and Ranking Problematics.
Abstract: Reader's Guide. Foreword to the English-Language Edition. Introductory: How to Aid Whom with What Types of Decision. 1. Decision Problems and Processes. 2. Decision Aiding: Major Actors and the Role of Models. 3. Reference Examples. 4. Phases and Options of an Approach to Decision Aiding (General Ideas of the Methodology). Level I: How to Determine What is Possible and in What Terms to Formulate a Problem. 5. Actions and Decision Aiding. 6. Problematics as Guides in Decision Aiding. Level II: How to Determine Preferences and on What Bases. 7. Preference, Indifference, Incomparability: Binary Relations and Basic Structures. 8. Comparing Actions and Modeling Consequences. 9. Comparing Actions and Developing Criteria. Levels III and IV: How to Proceed from Multiple Criteria to Comprehensive Preferences and Develop Recommendations. 10. Coherent Criterion Family and Decision Aiding in the Description Problematic. 11. Modeling Comprehensive Preferences: Three Operational Approaches for Progressing Beyond the Description Problematic. 12. Specific Difficulties in Choice, Sorting, and Ranking Problematics. Bibliography. Index.

1,685 citations

Journal ArticleDOI
TL;DR: In this article, a method is described which produces sensible estimates of structure factor moduli from intensity observations, whether the latter are positive or negative, and preliminary applications of the method to data from the protein phosphorylase b are summarized.
Abstract: A method is described which produces sensible estimates of structure factor moduli from intensity observations, whether the latter are positive or negative. Preliminary applications of the method to data from the protein phosphorylase b are summarized.

954 citations

Journal ArticleDOI
TL;DR: This paper presents a meta-modelling architecture suitable for multiobjective analysis of the decision-Making process and some of the strategies used in this process have been developed.
Abstract: Keywords: Decision-Making ; multiobjective analysis Reference Record created on 2005-06-20, modified on 2016-08-08

729 citations

Journal ArticleDOI
TL;DR: The decision-centred approach has been widely hailed as a breakthrough in planning thought as discussed by the authors and has been applied to a wide range of organizational and interorganizational planning problems and has proved especially effective as an aid to interactive working in interdisciplinary groups throughout the world.
Abstract: This decision-centred approach has been widely hailed as a breakthrough in planning thought. It bridges the difficult gap between the aspirations of strategic planning and the realities of day-to-day management. The approach is specifically designed to help people plan under the familiar pressures of uncertainty, shortage of time, limited resources and conflicting interests. Since it first emerged from a pioneering study of British city government at work by operational researchers and social scientists, the approach has been applied to a wide range of organizational and interorganizational planning problems and has proved especially effective as an aid to interactive working in interdisciplinary groups throughout the world. This extensively illustrated book offers an authoritative, up-to-date guide to the subject. It is written not just as an introduction to the philosophy and techniques of strategic choice, but also as a handbook for quick reference by users. It includes illustrations from practical applications in several countries and will be invaluable not only to students of planning and academics, but also to practitioners working in any field of business management or public policy.

540 citations


Cited by
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Book
01 Nov 2008
TL;DR: Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization, responding to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.
Abstract: Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.

17,420 citations

Book
30 Jun 2002
TL;DR: This paper presents a meta-anatomy of the multi-Criteria Decision Making process, which aims to provide a scaffolding for the future development of multi-criteria decision-making systems.
Abstract: List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test Suites. 4. MOEA Testing and Analysis. 5. MOEA Theory and Issues. 3. MOEA Theoretical Issues. 6. Applications. 7. MOEA Parallelization. 8. Multi-Criteria Decision Making. 9. Special Topics. 10. Epilog. Appendix A: MOEA Classification and Technique Analysis. Appendix B: MOPs in the Literature. Appendix C: Ptrue & PFtrue for Selected Numeric MOPs. Appendix D: Ptrue & PFtrue for Side-Constrained MOPs. Appendix E: MOEA Software Availability. Appendix F: MOEA-Related Information. Index. References.

5,994 citations

Journal ArticleDOI
TL;DR: Confirmation bias, as the term is typically used in the psychological literature, connotes the seeking or interpreting of evidence in ways that are partial to existing beliefs, expectations, or a h...
Abstract: Confirmation bias, as the term is typically used in the psychological literature, connotes the seeking or interpreting of evidence in ways that are partial to existing beliefs, expectations, or a h...

5,214 citations

Journal ArticleDOI
TL;DR: This paper presents an overview of the major phenix.refine features, with extensive literature references for readers interested in more detailed discussions of the methods.
Abstract: phenix.refine is a program within the PHENIX package that supports crystallographic structure refinement against experimental data with a wide range of upper resolution limits using a large repertoire of model parameterizations. It has several automation features and is also highly flexible. Several hundred parameters enable extensive customizations for complex use cases. Multiple user-defined refinement strategies can be applied to specific parts of the model in a single refinement run. An intuitive graphical user interface is available to guide novice users and to assist advanced users in managing refinement projects. X-ray or neutron diffraction data can be used separately or jointly in refinement. phenix.refine is tightly integrated into the PHENIX suite, where it serves as a critical component in automated model building, final structure refinement, structure validation and deposition to the wwPDB. This paper presents an overview of the major phenix.refine features, with extensive literature references for readers interested in more detailed discussions of the methods.

4,380 citations

Journal Article
TL;DR: Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of the authors' brain’s wiring.
Abstract: In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

4,351 citations