A unified perspective on decision making and decision support systems |
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| Authors: | M. B. Ayati |
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| Affiliation: | 1. Gansu Province Organic Semiconductor Materials and Applied Technology Research Centre, School of Material Science and Engineering, Lanzhou Jiaotong University, Lanzhou 730070, PR China;2. College of Petroleum and Chemical Engineering, Jilin Institute of Chemical Technology, Jilin 432000, PR China;3. National Green Coating Equipment and Technology Research Centre, Lanzhou Jiaotong University, Lanzhou 730070, PR China;4. State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou 510640, PR China;1. School of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, China;2. Key Laboratory of Optoelectronic Chemical Materials and Devices (Ministry of Education), Jianghan University, Wuhan, China;3. School of Material Science and Engineering, Southwest Petroleum University, Chengdu 610500, China;4. Research Institute of Petroleum Exploration and Development, CNPC, Beijing 100083, China;5. No.2 oil production plant of Xinjiang Oilfield Company, Xinjiang Oilfield Company, Xinjiang 834008, China;6. Université de Lyon, INSA Lyon, MATEIS UMR CNRS 5510, Bat L. de Vinci, 21 Avenue Jean Capelle, 69621 Villeurbanne Cedex, France |
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| Abstract: | The lack of consensus on the meaning and role of decision support systems (DSSs), in the market and in academia, indicates that DSS as a field is not maturely defined and modeled. Moreover, an integrated view of the field is necessary to assess the role and value of DSS products and services. Such a view is also a prerequisite for understanding the issues of integration, as well as the potential contributions of artificial intelligence (AI) and expert systems (ES). This paper presents a unified and dynamic model showing the relationships of knowledge, information, decision, and action in the decision process. DSS modeling is viewed as a logical deduction of the utility (goal) structure. Using the framework of the model, the sequence and phases of decision making are revised. The concept of situation model is introduced. Four categories of information are addressed: instruction, historical, predicted value of alternatives, and patterns. The role of existing and potential support systems and their evolution toward utilization of ES and AI are discussed. |
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