Authors:
Morteza Zahedi
;
Ali Pouyan
and
Esmat Hejazi
Affiliation:
Shahrood University of Technology, Iran, Islamic Republic of
Keyword(s):
Decision Support System, Technical Support Group, Statistical Pattern Recognition, Hidden Markov Model, Human Judgment, Expert Systems.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Applications of Expert Systems
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Intelligent Agents
;
Internet Technology
;
Natural Language Interfaces to Intelligent Systems
;
Verification and Validation of Knowledge-Based Systems
;
Web Information Systems and Technologies
Abstract:
In this paper we propose a new statistical approach to simulate a technical support center as a help desk for a web site which makes use of scientific documents and university protocols for the students and lecturers. In contrary to the existing statistical approaches which are modelled by general statistical graphs named Bayesian network or decision graph, we propose a statistical approach which can be used consistently in different domains and problem spaces without any need for a new designing regarding the new domain. Furthermore, the proposed statistical model which is trained by a set of training data collected from the experts in a special field is applicable to
high-dimensional, large-sized, non-geometric-based data for decision making support.