Inference method facing to indefinite context of general fit calculation

Abstract

The invention discloses an inference method facing to indefinite context of general fit calculation, which uses set pair analysis technology and related coefficient concept to infer and integrate primary context data sensed by a bottom sensor so as to acquire a high-layer context information technical proposal in a general fit calculation environment, and uses the set pair analysis technology and vector correlation coefficients to achieve quick, convenient, intuitive and reliable inference for the indefinite context; and the set pair analysis method effectively reflects the opposite unity relation of definite-indefinite systems, accords with natural dialectics and human thinking mode, and has the significance of methodology. In various actual context sensing applications, the set pair analysis method is simpler, more convenient and more effective to describe indefiniteness than the methods using probability theory, fuzzy set and the like. A connection degree expression is written to a form of vector for short as mu (W) = (a, b, c), and is named as identity-diversity reverse vectors of the set pair. The cosine of an included angle between the identity-diversity reverse vectors reflects the closing degree of the identity-diversity reverse vectors, when the cosine value of the included angle is larger, the difference is smaller, and the similarity is larger.

Description

technical field [0001] The invention is a technical solution for obtaining high-level context information by reasoning and merging original context data sensed by bottom-level sensors in a pervasive computing environment by using set-pair analysis technology and the concept of correlation coefficients. The technology belongs to the field of context-aware computing applications. Background technique [0002] With the development of computer technology, mobile computing technology and sensor network, computing has become ubiquitous. In 1991, Dr. Mark Weiser of Xerox proposed the idea of ​​ubiquitous computing, emphasizing the embedding of computers into the environment or daily tools, so that the computers themselves would disappear from people's sight, and people's attention centers would return to the tasks to be completed. From the perspective of ubiquitous computing, context refers to any information that can be used to represent the state of an entity, and context-aware ...

AI Technical Summary

Problems solved by technology

[0007] Technical problem: The purpose of this invention is to provide a reasoning method for the uncertainty context of ubiquitous computing, and use the set pair analysis technology in artificial intelligence and the concept of correlation coefficient in cluster analysis to solve the underlying physical problems in the ubiquitous computing environment. The problem of the poor quality of the original context data acquired by the sensor, fast and low-overhead reasoning on the original context data to obtain definite high-level context information, and submit it to the knowledge base after conflict and inconsistency checks to meet the actual context-aware computing applications To meet the real-time and accuracy requirements in the medium and improve the overall performance of the system

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