Foundations of Decision Support SystemsFoundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at information processing, decision making, and decision support; frameworks for organizational information processing and decision making; and representative decision support systems. Discussions focus on classification scheme for DSS, abilities required for decision making, division of information-processing labor within an organization, and decision support. The text then elaborates on ideas in decision support, formalizations of purposive systems, and conceptual and operational constructs for building a data base knowledge system. The book takes a look at building a data base knowledge system, language systems for data base knowledge systems, and problem-processing systems for data base knowledge systems. Topics include problem processors for computationally oriented DSS, major varieties of logical data structures, and indirect associations among concepts. The manuscript also examines operationalizing modeling knowledge in terms of predicate calculus; combining the data base and formal logic approaches; and the language and knowledge systems of a DSS based on formal logic. The publication is a valuable reference for researchers interested in decision support systems. |
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1–N association ability active aggregate concepts application approach arguments artificial intelligence associative relationship axiom set BOB SMITH Chapter clauses coset coset-1 current owner CUSTOMER-NAME data base management data item types data structure decision maker decision support systems direct DML commands domain of discourse example execution expression first-order logic flag goal grammar implementation indirect relationships indivisible concepts information collection information processing information-processing instance instantiations interface interpreter knowledge representation knowledge system language system logical structure M-N association member occurrence model formulation modeling knowledge module MYCIN node occurrence structure operational constructs operationalized order line organization predicate calculus predicate symbol problem processor problem recognition problem solving production rules production system PSDB query record occurrence record type record-type-1 resolution resolution principle roles schema Section shown in Fig Skolem normal form specified STEVE MOORE string subschema techniques tion user's variables