Model Management for Cybernetic Decision Support Systems
Managers being human have limited information processing capacity and are subject to judgmental biases, inferential shortcomings, and ignorance of the rules for optimal information processing and decision-making. Decision aids in the form of human computer information processing systems such as d...
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| Format: | Thesis |
| Language: | English English |
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2004
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| Online Access: | http://psasir.upm.edu.my/id/eprint/303/ http://psasir.upm.edu.my/id/eprint/303/1/549611_FSKTM_2004_9.pdf |
| _version_ | 1848838740980531200 |
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| author | Jais, Jamilin |
| author_facet | Jais, Jamilin |
| author_sort | Jais, Jamilin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Managers being human have limited information processing capacity and are subject to
judgmental biases, inferential shortcomings, and ignorance of the rules for optimal
information processing and decision-making. Decision aids in the form of human computer
information processing systems such as decision support systems, are
sometimes employed to assist and support human managers in various tasks. These
decision aids unfortunately do not fulfill the requirements and expectations of managers
in arriving at the desired solution. This is due to the fact that the tools provided are not
suitable for the managers, as they do not put sufficient emphasis on the human aspects of
decision-making.
Most recent models for decision support systems presented by researchers in model
management are based on Operational Research or Artificial Intelligence, and are not
adequate. They are based on a simplistic question-answer environment which does not reflect the real-life situation. They also do not put enough emphasis on the intelligent,
deciding and reasoning side of the model. Furthermore, the models have little capacity to
learn and adapt to new environments and needs. Thus, the proposal in this thesis is for a
new system called Model Manager System (MOMS) that incorporates Artificial
Intelligence and a Cybernetic Approach with the actual Decision-Making Environment.
In order to design the proposed decision model system, various areas are explored - such
as the decision-making process, managerial behaviour, human information system, and
available decision aids - where various elements related to human decision making are
considered. As Cybernetic tools are used in designing the model, human aspects are
emphasised greatly, especially in the Information Processing techniques such as
intelligence, control, coordination, monitoring, and implementation. The designed
system tries to mimic Human Information Processing wherever possible. |
| first_indexed | 2025-11-15T07:00:22Z |
| format | Thesis |
| id | upm-303 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:00:22Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-3032013-05-27T06:47:24Z http://psasir.upm.edu.my/id/eprint/303/ Model Management for Cybernetic Decision Support Systems Jais, Jamilin Managers being human have limited information processing capacity and are subject to judgmental biases, inferential shortcomings, and ignorance of the rules for optimal information processing and decision-making. Decision aids in the form of human computer information processing systems such as decision support systems, are sometimes employed to assist and support human managers in various tasks. These decision aids unfortunately do not fulfill the requirements and expectations of managers in arriving at the desired solution. This is due to the fact that the tools provided are not suitable for the managers, as they do not put sufficient emphasis on the human aspects of decision-making. Most recent models for decision support systems presented by researchers in model management are based on Operational Research or Artificial Intelligence, and are not adequate. They are based on a simplistic question-answer environment which does not reflect the real-life situation. They also do not put enough emphasis on the intelligent, deciding and reasoning side of the model. Furthermore, the models have little capacity to learn and adapt to new environments and needs. Thus, the proposal in this thesis is for a new system called Model Manager System (MOMS) that incorporates Artificial Intelligence and a Cybernetic Approach with the actual Decision-Making Environment. In order to design the proposed decision model system, various areas are explored - such as the decision-making process, managerial behaviour, human information system, and available decision aids - where various elements related to human decision making are considered. As Cybernetic tools are used in designing the model, human aspects are emphasised greatly, especially in the Information Processing techniques such as intelligence, control, coordination, monitoring, and implementation. The designed system tries to mimic Human Information Processing wherever possible. 2004-12 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/303/1/549611_FSKTM_2004_9.pdf Jais, Jamilin (2004) Model Management for Cybernetic Decision Support Systems. PhD thesis, Universiti Putra Malaysia. Decision support systems - Management English |
| spellingShingle | Decision support systems - Management Jais, Jamilin Model Management for Cybernetic Decision Support Systems |
| title | Model Management for Cybernetic Decision Support Systems |
| title_full | Model Management for Cybernetic Decision Support Systems |
| title_fullStr | Model Management for Cybernetic Decision Support Systems |
| title_full_unstemmed | Model Management for Cybernetic Decision Support Systems |
| title_short | Model Management for Cybernetic Decision Support Systems |
| title_sort | model management for cybernetic decision support systems |
| topic | Decision support systems - Management |
| url | http://psasir.upm.edu.my/id/eprint/303/ http://psasir.upm.edu.my/id/eprint/303/1/549611_FSKTM_2004_9.pdf |