This is the definitive text for one of the major schools of thought in systemsscience. It presents both a comprehensive framework for characterizing allforms of... » 

This is the definitive text for one of the major schools of thought in systemsscience. It presents both a comprehensive framework for characterizing allforms of systems problems and a set of specific methodologies for some keyproblems. These methodologies are based on a combination of classical and fuzzyset theories probability and possibility theories graph and hypergraphtheories and information theory among others. The hardcopy text contains arevised updated and condensed version of the first edition accompanied by aCD containing supplementary material including additional chapters on relatedtopics explanatory material drawn from many years of class presentations andlectures exercises and fully worked out examples showing both the frameworkand methodology in operation on actual realworld problems. Fully operationalsoftware is made available on an associated website. The material is suitablefor upperlevel undergraduates and firstyear graduate students with a modestbackground in discrete math probability and statistics. TOC1. Introduction.2. Source and Data Systems. 3. Generative systems. 4. Structure Systems. 5.Metasystems. A. Complexity. B. GoalOriented. C. System Similarity. 6.Architecture Use Evolution. Appendices. References. Subject Index. AuthorIndex. «