Intelligent Scheduling Problems
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#1997 Operational Research Society Ltd. All rights reserved. 0160-5682/97 $12.00
Book Selection Edited by JM Wilson J Janssen, CH Skiadas and C Zopounidis: Advances in Stochastic Modelling and Data Analysis DL Olson: Decision Aids for Selection Problems DE Brown and WT Scherer: Intelligent Scheduling Problems J Fortune and G Peters: Learning From FailureÐThe Systems Approach RG Coyle: System Dynamics Modelling: A Practical Approach A Rao, LP Carr, I Dambolena, RJ Kopp, J Martin, F Ra®i and PF Schlesinger: Total Quality ManagementÐA Cross Functional Perspective
Advances in Stochastic Modelling and Data Analysis J Janssen, CH Skiadas and C Zopounidis (eds) Kluwer Academic Publishers, London, 1995, x 428 pp. £135. ISBN 0 7923 3564 3 This is an edited collection of research papers, most of which were presented at the Sixth International Symposium on Applied Stochastic Models and Data Analysis (ASMDA) held in Crete during the summer of 1993. Most of the authors are from academic institutions, with more than half of the twenty-four papers originating from Greek institutions and only two from outside Europe. After a brief preface, the papers are organized into ®ve chapters. Chapter 1 is on Stochastic Modelling in Finance, Insurance and Economics (6 papers). The stochastic models considered relate to asset liability management, gambler's ruin applications, portfolio theory, recursive ®ltering and forecasting. In general, this work appears to be primarily of theoretical interest and only limited practical applicability. Somewhat out of place, the chapter ®nishes with an essay on the role of ADMDA in engineering education. Chapters 2 and 3 are respectively called Data Analysis and Economics (5 papers) and Forecasting and Marketing (5 papers). Most of these papers consider the application of traditional statistical methods to contemporary commercial problems, several of which are based upon European and Greek agriculture. One exception is a paper describing the theory of Variational Data Analysis which is proposed as an alternative to classical classi®cation criteria. Chapters 4 and 5 stretch the de®nition of ASMDA slightly to include respectively Multicriteria Decision Support Systems (5 papers) and Arti®cial Intelligence, Expert Systems and Neural networks (3 papers). The former includes, for example, the design of an MCDSS
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for portfolio selection applied to the Belgian Stock Exchange, and an interesting essay on the evaluation of political risk for companies making foreign investment decisions. The AI papers include an approach to inference and learning that is illustrated by an expert system for diagnosing anemia. All papers are written in English and the overall standard of writing is reasonable but, in a few cases, some additional assistance with the language would have greatly improved the ®nal result. The coverage of topics is so broad that individual researchers would be unlikely to ®nd more than a few papers relevant to their particular research. Hence, this volume is probably more suita
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