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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Main Author:	Jais, Jamilin
Format:	Thesis
Language:	English English
Published:	2004
Subjects:	Decision support systems - Management
Online Access:	http://psasir.upm.edu.my/id/eprint/303/1/549611_FSKTM_2004_9.pdf
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id	my-upm-ir.303
record_format	uketd_dc
spelling	my-upm-ir.3032013-05-27T06:47:24Z Model Management for Cybernetic Decision Support Systems 2004-12 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. Decision support systems - Management 2004-12 Thesis http://psasir.upm.edu.my/id/eprint/303/ http://psasir.upm.edu.my/id/eprint/303/1/549611_FSKTM_2004_9.pdf application/pdf en public phd doctoral Universiti Putra Malaysia Decision support systems - Management Faculty of Computer Science and Information Technology English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Decision support systems - Management
spellingShingle	Decision support systems - Management Jais, Jamilin Model Management for Cybernetic Decision Support Systems
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.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Jais, Jamilin
author_facet	Jais, Jamilin
author_sort	Jais, Jamilin
title	Model Management for Cybernetic Decision Support Systems
title_short	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_sort	model management for cybernetic decision support systems
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Computer Science and Information Technology
publishDate	2004
url	http://psasir.upm.edu.my/id/eprint/303/1/549611_FSKTM_2004_9.pdf
_version_	1747810195001573376

Model Management for Cybernetic Decision Support Systems

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