Intelligent Integration Of Qualitative Mapping Model And Its Attribute Computing Network Technology

Although different intelligent methods are in possession of distinctive characteristics to solve their individual problems, since all the expert system, neural network, fuzzy set methodology and support vector machine have their respective limits, how to integrate different intelligence methods with technology for mutual supplementation has become an important research field in artificial intelligence. When the scholars engaged in this field and engineering technicians attempt to combine two or more intelligence methods with technology, the intelligence fusion takes shape.The authors of the thesis discuss the relation between qualitative mapping and intelligence fusion by answering the following five questions: 1. Can the artificial intelligence methods of different academic schools be fused? 2. Under what kind of framework can they be fused? 3. What is the fusion system? 4. How can the intelligence fusion model be realized? 5. What are the application fields of the intelligence fusion model?For Question 1, we have affirmative answer for the following reasons:With respect to the epistemology, the opinions that various artificial intelligence methods cannot be fused are in conflict with the fact that human brain is united and harmonious. In other words, although the neural system of human brain is open and extremely complicated, the center nerve system has united and harmonious control mechanism due to mutual independent but coordinative operation of neural subsystems or otherwise such operation would not be realized.However, as such united and harmonious control and operation mechanism in nerve center of human brain have not been exposed; artificial intelligence experts fail to utilize the mechanism to direct research. Moreover, even if the artificial intelligence methods do simulate the functions of human brains subsystems, people cannot use this united and harmonious mechanism to integrate all the intelligence methods into one framework. Under such circumstance, whether we can figure out the mechanism of exclusive control of each neural subsystem by human brain is no longer the problem of basic theory in brain science but a core technology problem relating to fusion of artificial intelligence methods.On the contrary, if we do find the effective fusion mechanism for all the artificial intelligence methods, we should ponder whether it is the mechanism of united and harmonious operation of human brain.For Question 2, by taking the "If... then..." symbols used in medical and failure diagnosis, we not only find the source that tears apart the symbol method and connection method, but also suggest the mathematics model for their integration, namely the qualitative mapping model.For Question 3, we discuss qualitative mapping and expert system, artificial neural network, fuzzy set, Bayesian calculation, support vector machine and genetic algorithm as well as the relations of artificial intelligence methods of different academic schools. We point out that the qualitative benchmark of qualitative mapping bridges the expert system and artificial neural network, which, together with its movement, expansion and superposition, not only makes qualitative mapping and artificial neural cell and network mutually interchangeable and definable, but also generates qualitative benchmark boundary fuzzy mechanism based upon superposition and a fuzzy membership definition based upon Bayesian calculation. Furthermore, subdivision (or dissection) of qualitative benchmark may induce a qualitative mapping sub variety and its Hilbert space and a support vector machine while the dissection limit of qualitative benchmark may induce genetic algorithm.For Question 4, we equalize the input/output relation of qualitative mapping to a logic calculation unit and integrated several qualitative mapping (logic calculation) units into a Attribute Computing Network that can be restructured, studied and adjusted by methods of series, parallel, weight (offset) and feedback. Judging from the answers to the second and third questions, the artificial intelligence methods affiliated to different academic schools can be simulated and realized by Attribute Computing Network. In other words, the Attribute Computing Network is an intelligence calculation platform combining various intelligence methods.For Question 5, on this Attribute Computing Network intelligence platform, we take examples of handwriting Chinese characters, handwriting English characters, handmade pictures, traffic signals and failure diagnosis of ship's main engine and realize training and adjustment of property intelligence calculation network platform by software programming so as to realize the functions of artificial neural network such as feature extraction, mode identification and failure diagnosis. What's more, by taking the examples of production competitiveness and college entrance examinations, adopting human/computer interplay method and utilizing intelligence calculation network platform, we track and analyze the mental judgment standards and their changes of the decision-makers that change with the environment, conditions, experience and psychological inclination, on the basis of which we conduct dynamic simulation of comprehensive assessment of the decision-makers based upon the dynamic changes of mental judgment standards.