Multiple criteria decision support

Multiple criteria decision support

364 application of special, empirical applications of decision oriented models to managerial, technical and environmental .problems in order to contr...

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application of special, empirical applications of decision oriented models to managerial, technical and environmental .problems in order to contribute to the resolution ot today's problems and conflicts. A special chapter is devoted to insurance. The book is of value to executives and managers, as well as to researchers, academics and students, since the contributors are at the forefront of research in decision science. Two of them, H.A. Simon and M.Allais, are Nobel Laureates in economics. Korhonen, P., Lewandowski, A. (eds.) Multiple Criteria Decision Support Springer, 1991, DM80.O0, xii + 392 pages (lecture notes in economics and mathematical systems, vol. 356). This volume provides an up-to-date coverage of the theory and practise of multiple criteria decision support. It presents the recent developments in the field of decision support systems, including theoretical and methodological approaches, and sample application of this methodology in various fields of management and industry. The book also presents a short summary of the software systems for decision support. Einhorn, M.A. (ed.) Price Caps and Incentive Regulation Telecommunications Kluwer, 1991, Dfl. 115.00/£31.75, 256pages.

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In continuing to deregulate telecommunications, regulators have begun to consider alternative approaches to traditional cost-based price re~u!ation as a means of encouraging monopoly ernclency, promulgating technological innowmon, protecting consumers, and reducing administrative costs. A category of alternative regulatory approaches can be classified broadly as social contracts. Under the general strategy of social contract regulation, regulators first delimit a group of regulated core services that they continue to regulate and then stipulate a list of constraints that the utility must agree to meet in the future; in exchange, regulators agree to detariff or deregulate entirely other competitive or nonessential services that the utitlity may offer. As long as no stipulated constraints are violated, the utility may freely price any service; if it reduces costs, it may keep a share of its profits.

O p e r a t i o n a l R e s e a r c h e r s wishing to review b o o k s a n d publishers wishing to have b o o k s reviewed please contact Prof. L.F. G e l d e r s , Dr. D . G . C a t t r y s s e , Catholic University of L e u v e n , Division o f Industrial M a n a g e m e n t , Celestijnenlaan 300 A , B - 3001 HEVERLEE - LEUVEN, BELGIUM, Tel : 32 - 16 - 28.66.11. Fax ! 32 - 16 - 22.23.45

This book covers a range of topics - the efficiency of long-run equilibria, strategtc misrepresentation issues, resulator commitment difficulties, measuring productiwty adjustments, protecting against uneconomic bypass, ensuring service quality, and capacity sizing and can serve both as an introduction to the incentive contract issue as well as a collection of detailed articles that focus on important contemporary issues in the theory and implementation of alternative regulatory procedures. Bohlin, T. Interactive System Identification : Prospects and Pitfalls Springer, 1991, DM148.00, 365pages. This book aims at giving users of identification software the fundamental insight needed to carry out interactive design of models of physical objects. The book therefore starts with the fundamental conditions for setting up correct indentification problems, continues by highlighting the roles of validation and falsification of models, and ends with concrete procedures for interactive design of stochastic models. The approach is new. A second novelty is that the book does not concentrate on the usual blackbox models. It emphasizes the purpose of the design and the importance of supplementing experimental data with the partial apriori knowledge that is often available to the designer. The book also emphasizes the prospects and limitations of identification. It clarifies what can and cannot be inferred about the object under various circumstances, and, consequently, what kind of modelling errors the computer can and cannot diagnose. It illuminates the 'pitfalls', i.e. approaches that may appear feasible, but which may easily go wrong.