Self-associated concept mapping for representation, elicitation and inference of knowledge

  • Authors:

  • W. M. Wang;C. F. Cheung;W. B. Lee;S. K. Kwok

  • Affiliations:

  • Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong;Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong;Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong;Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2008

Quantified Score

Hi-index 0.01

Visualization

Abstract

Concept maps have been widely put to educational uses. They possess a number of appealing features which make them a promising tool for teaching, learning, evaluation, and curriculum planning. This paper presents self-associated concept mapping (SACM) which extends the use of concept mapping by proposing the idea of self-construction and automatic problem solving to traditional concept maps. The SACM can be automatically constructed and dynamic updated. A Constrained Fuzzy Spreading Activation (CFSA) model is proposed to SACM for supporting rapid and automatic decisions. With the successful development of the SACM, the capability of Knowledge-based systems (KBS) can be enhanced. The concept and operational feasibility of the SACM is realized through a case study in a consultancy business. The theoretical results are found to agree well with the experimental results.