Developing Backward Chaining Algorithm of Inference Engine in Ternary Grid Expert System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 9
Abstract
The inference engine is one of main components of expert system that influences the performance of expert system. The task of inference engine is to give answers and reasons to users by inference the knowledge of expert system. Since the idea of ternary grid issued in 2004, there is only several developed method, technique or engine working on ternary grid knowledge model. The in 2010 developed inference engine is less efficient because it works based on iterative process. The in 2011 developed inference engine works statically and quite expensive to compute. In order to improve the previous inference methods, a new inference engine has been developed. It works based on backward chaining process in ternary grid expert system. This paper describes the development of inference engine of expert system that can work in ternary grid knowledge model. The strategy to inference knowledge uses backward chaining with recursive process. The design result is implemented in the form of software. The result of experiment shows that the inference process works properly, dynamically and more efficient to compute in comparison to the previous developed methods.
Authors and Affiliations
Yuliadi Erdani
Keywords
Related Articles
- EP ID EP119794
- DOI -
- Views 114
- Downloads 0
A Feature Fusion Approach for Hand Tools Classification
The most important functions in objects classification and recognition system are to segment the objects from the input image, extract common features from the objects, and classify these objects as a member of one of th...
Reducing the Calculations of Quality-Aware Web Services Composition Based on Parallel Skyline Service
The perfect composition of atomic services to provide users with services through applying qualitative parameters is very important. As expected, web services with similar features lead to competition among the service p...
Digital Technology Disorder: Justification and a Proposed Model of Treatment
Due to advances in technology being made at an exponential rate, organisations are attempting to compete with one another by utilising state-of-the-art technology to provide innovative products and services that encourag...
Enhanced e-Learning Experience using Case based Reasoning Methodology
In recent year’s improvement in innovation includes new limits for verifying data that will incite essential changes in eLearning. The user can see e-learning material subject to the reference given to them and select th...
Exploiting the Interplay among Products for Efficient Recommendations
Recommender systems are built with the aim to reduce the cognitive load on the user. An efficient recommender system should ensure that a user spends minimal time in the process. Conversational Case-Based Recommender Sys...