Expert systems can be used by mangers to make official decision process and to clarify the reasoning process employed to make decisions. Expert systems have provided so many facilities in the management decision-making process and the process turned out to be faster and more consistent…
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Expert systems can be used by mangers to make official decision process and to clarify the reasoning process employed to make decisions. Expert systems have provided so many facilities in the management decision-making process and the process turned out to be faster and more consistent. This research paper based on theme of the analysis of the importance of 'Expert system' in the management decision making process.This paper provides the research on the importance of 'Expert System' in the Management Decision Making Process. It provides information in such a way that every aspect of the expert system of the Decision Making can be addressed. First of all this paper will present a brief introduction and background of the expert systems, and then it will present the structure of the expert system, the next section contains how expert system can work for the management of enterprise. The next section is literature review of the relevant research and development in the same field, for this purpose it will discuss the development and results of the COMMU expert system, then the proceeding section discusses expert system in business management/ financial markets discussion, here the main point of discussion would be that how expert system become beneficial for the business management and how it can support decision making process. The next section is regarding expert systems & decision support association. The proceeding section will articulate few inabilities of expert system regarding decision making. Then the next section contains the conclusion and references.
Artificial intelligence or AI is a field of computer science which has concerned a group of computer specialists in current years. AI is the study of how to create computers doing things at which, at the moment, people are better. AI has two major objectives (Kenneth, 1998).
The first purpose is to form an intelligent machine.
The second intend is to find out regarding the environment of intelligence.
AI can be separated into three comparatively independent research areas:
1) Expert systems,
2) Natural language and
Of the three areas, expert systems development is the mainly important practical application of Artificial Intelligence (AI) (Kenneth, 1998).
One of the most recent and mainly promising information technologies is the expert system or ES. An expert system is a computer program that impersonators the decision making behavior and technique of the human expert and permits computing power to be applied to jobs those necessitate the dealing out of human knowledge (Adrian et al, 1990). Because of its intelligent abilities it has been suggested that expert system technology will have a remarkable effect on the workplace. An expert system is a computer program that goes behind human proficiency whether it is gained directly from experts or from written sources like regulations. The main reimbursements are several as given below: (Terry et al, 2000)
Enhanced decision making
Making eminence and reliability
Extension of organizational awareness
These programs are fairly diverse in their function, which comprise guidance to fresh employees, user friendly front-ends to databases, and still the making of decisions for employees by means of the expert's reasoning. Research in artificial intelligence has led to the intensification and expansion of expert systems (Terry et al, 2000).
Expert system is also an elevated performance exceptional system which is developed by "confining" and coding the skill and knowledge of a specialist using unique computer language that is special for the expert system. The thought is that the consequential computer system be able to then hold out the similar level of service to a user as the original and innovative expert (Joseph et al, 2005).
Developing expert systems engages two basic steps before authentic
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Also by promoting the right individual, his motivation level would also increase thus it would further increase the productivity. There are different factors that an organization use to evaluate the performance of an individual
However, this systematic process of decision making involves complex web of activities and processes which one must need to undertake in order to make effective decision making.
The effectiveness of an organization’s
According to Jewellery Consumer Opinion Council, women are not waiting for the men in their lives to buy them diamonds. Of the nearly 90 percent of female respondents who say they own diamond jewellery, almost 70 percent have purchased it for themselves in the past (up five percent over the same September 2004 JCOC study), and more than 80 percent are willing to buy more for themselves in the future.
We just had a task to be completed in front of us, and it was all we cared for. We won't say that everything went perfectly, but, nevertheless, we got a very valuable experience in working in group and team decision making we would now like to share with you.
They continue with the decisions they have made. But, ‘unsuccessful’ are very sluggish to make any decision at all and they change the ones they have made very rapidly indeed (Kotelnikov, 2008).
It is necessary
s been done, I find the reasoning for it so that my decision-making does not get affected by entirely alternate evidences which might be available at one point in time in the future. I want to be 100 percent sure that my decision-making process is absolute and comprehensive from
The author explains that the decision-making process purchasing process progresses in five stages: recognizing needs, searching for information, evaluating alternatives, purchasing decision and post-purchasing behavior. Need Recognition is the start of the buying process, where the customers realize their need or problem.
Simple and time-tested applications like spreadsheets can be used to run rigorous queries and reports on key data. Knowledge Management (KM) is another feature that will enable all employees (irrespective of specialization) to contribute to system building, information sorting and creating business intelligence reports.
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