Composite decisions consist of interconnected parts or subdecisions and correspond to a composite (composable, modular, decomposable) system. The composite decision approach extends the traditional paradigm of decision making of Herbert A. Simon, i.e. choice of the best alternative(s), and realizes a two-stage solving scheme: (a) the selection of alternatives as the best subdecisions or local decisions and (b) composition of the selected local decisions into a composite global decision while taking into account the quality of the local decisions and their compatibility.

Composite Systems Decisions describes an educational approach that is based on systems engineering and considered modular design of composite decisions. Divided into four parts, this book contains descriptions of basic systems approaches and examines basic 'technological' problems for composite systems, including: modular hierarchical design; multistage design; multistage planning; redesign/improvement/adaptation; evaluation; and, combinatorial evolution/development.

Applied researchers, undergraduate and graduate students, and practitioners in many domains will find Composite Systems Decisions a valuable reference. The basic systems problems, solving schemes, and applied examples contained in the book will also be of interest to various scientists (e.g., mathematicians, computer scientists, economists, social engineers, etc.).

The Decision Engineering series focuses on the foundations and applications of tools and techniques related to decision engineering, and identifies their relevance in 'engineering' decisions. The series provides an aid to practising professionals and applied researchers in the development of tools for informed operational and business decision making, within industry, by utilising distributed organisational knowledge.

Auteur

Dr. Mark Levin is currently a Senior Researcher for the Institute for Information Transmission Problems at the Russian Academy of Sciences, Moscow. His research interests include: combinatorial and systems engineering, combinatorial optimization, multi-criteria decision making, algorithms and procedures, applications, engineering/CS education. In his career he has taught in many different institutions including in more recent years: the Moscow Physical-Technical Institute (Univ.) and Ariel College in Israel.

Résumé

Composite decisions consist of subdecisions and correspond to a composite system. This approach extends the traditional paradigm of decision making of Herbert A. Simon, i.e. choice of the best alternative(s), and realizes a two-stage solving scheme: (a) selection of alternatives as the best subdecisions/local decisions and (b) composition of these local decisions into a composite global decision, accounting for the quality of the local decisions and their compatibility.

This book describes an approach based on systems engineering and considered modular design of composite decisions. It describes basic systems approaches and examines basic 'technological' problems for composite systems (with applied examples), including: modular hierarchical design; multistage design and planning; redesign/improvement/adaptation; evaluation; and, combinatorial evolution/development.

Applied researchers, students, and practitioners will find this book of value. It will also interest mathematicians, computer scientists, economists and social engineers.

Contenu

Issues of Information Technology.- Components of Information Technology.- System Approaches.- Systems: Models, Analysis, and Synthesis.- Issues of Systems Engineering.- System Development and Evolution.- Configuration and Multi-product Systems.- Applied Systems Decisions.- Synthesis of Composite Packaged Software.- Improvement of Buildings.- Planning in Concrete Macrotechnology.- Transformation of a Specialist's Profile.- Planning of Medical Treatment.- Design of Immunoassay Technology.- Common Part of Digraphs.- The Last Mile Problem.- Combinatorial Model of Political Administration.- Educational Issues.- General Engineering.- Design of Systems (Structural Approach).- Applied Combinatorial Optimization.- Conclusion.- Conclusion.