1 AIT Asian Institute of Technology

Computer aided foundation design : a knowledge based decision support system

AuthorTrinidad, Gerardo Santos
Call NumberAIT Thesis no. CS-87-13
Subject(s)Logic design--Data processing
Decision support systems
NoteA thesis submitter in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
PublisherAsian Institute of Technology
AbstractThe aim of this research is to come up with a framework in developing a knowledge based Decision Support System CDSS> in foundation design. This system would include the preliminary design stage aside from the detailed design and analysis, graphics and report generation tools supported by current CAD systems. Since the success of the design of an intelligent DSS depends largely on the development of an appropriate knowledge representation scheme and inference strategy, the bulk of this research is concentrated in these areas. The system has adopted multiple knowledge representation schemes. The rule base consisting mainly of design heuristics is represented in a double layered structured production system. Structuring the production system resulted to the reduction in search space. The model base, composed of numerical entities and mathematical models which express relationships among these entities, is stored in frame structures. This network of frames explicitly represents the dependency relations between numerical entities. This dependency network and its dual, the influence network, ensure that these relations are maintained. This is essential in numerical design where the values of entities are constantly revised. With regard to the appropriate inference mechanism, the system uses a controlled deepening inference strategy which avoids introducing unknown terms and detects cyclic solution paths. This strategy also guarantees that the solution path used is the shortest. Aside from this, the inference engine also filters out rules that could not be fired due to some existing contradiction with the current contents of the working memory. This approach reduces the number of rules to be considered, thus reducing the search space and increasing the efficiency of the inference process.
Year1987
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentOther Field of Studies (No Department)
Academic Program/FoSComputer Science (CS)
Chairperson(s)Vilas Wuwongse
Examination Committee(s)Sadananda, Ramakoti ;Ranchit Malaivongs
Scholarship Donor(s)US - ASEAN
DegreeThesis (M. Eng.) - Asian Institute of Technology, 1987


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