Titlebook: Expert Systems and Artificial Intelligence in Decision Support Systems; Proceedings of the S Henk G. Sol,Cees A. Th. Takkenberg,Pieter F. V

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https://doi.org/10.1007/978-3-031-66108-2iew and a construct paradigm. The construct paradigm is related to the model building process as used in DSS. After applying both instruments, we have come to the conclusion that the problem area of DSS cannot be regarded as a discipline. A conclusion that is valid for nearly all fields studying par

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Heather E. Campbell,Adam Eckerd,Yushim KimS are approaches rather than just systems, a conceptual framework is presented for comparing the two in the context of management problems. It consists of the following dimensions: general goals and paradigms, problem domain, model type, usage modality, and design and implementation. Given the state

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Green H2 Transport through LH2, NH3 and LOHCls and their relationships with the manager and his or her operation. To realize its full potential, view a decision support system top-down, from the manager’s perspective. The model gives us a broad view so that we can compare decision support systems (DSS), management information systems (MIS), e

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Folgen sexualisierter Gewalt im BdP,modelling or computing. Similarly, microcomputer based expert system shells promise those without an extensive background in Artificial Intelligence the opportunity to develop relatively simple, yet practical and useful, expert systems. The main types of shells are reviewed. In particular Micro-Expe

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