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Wyświetlanie 1-2 z 2
Tytuł:
An analysis of using triangular truth function in fuzzy reasoning based on a fuzzy truth value
Autorzy:
Kudłacik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333552.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
fuzzy reasoning
fuzzy truth value
fuzzy systems
rozumowanie rozmyte
logika rozmyta
systemy rozmyte
Opis:
Fuzzy systems are widely used in research and applications considering complex information like gene recognition and classification. Because of the character of genetic data, the extensive knowledge bases of such systems contain complex rules described by even thousands of atomic premises. This paper presents an analysis of fuzzy reasoning based on a fuzzy truth value, presented by Baldwin. The solution is an interesting, alternative approach to fuzzy inference. Considering the Zadeh’s compositional rule of inference, the idea of Baldwin has an advantage of resolving the whole inference process within the truth space. The approach is especially convenient for systems with large number of premises in rules, like mentioned gene classification systems. Although the solution of Baldwin is characterized by significantly lower computational complexity than the full implementation of the compositional rule of inference, it is not applied in contemporary systems. Over the years different researchers proposed simplified approaches, which are easier to implement and faster. The analysis presented in this paper considers possible simplifications that could be applied to the approach of Baldwin, where facts and fuzzy truth values are described by triangular membership functions. Such assumptions open the possibility of implementation of fast Baldwin’s inference and applications even for complex genetic data. Nevertheless, the solution would preserve one of the biggest advantage, which is the fuzzy relation, in form of the truth function, between a fact and a premise, throughout the whole inference process. Other fast approaches reduce this relation to only one value.
Źródło:
Journal of Medical Informatics & Technologies; 2013, 22; 103-110
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Knowledge-based in medical decision support system based on subjective intelligence
Autorzy:
Fujita, H.
Powiązania:
https://bibliotekanauki.pl/articles/951649.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
medical diagnosis
ontology
subjective intelligence
reasoning
fuzzy rules
diagnostyka medyczna
ontologia
inteligencja
rozumowanie
reguły rozmyte
Opis:
Emotional Intelligence as cybernetics approach is using cognitive reasoning to collect the subjective attribute of human subject interacted with a system for providing technical advice. This talk contributes in new Cybernetics paradigm on using multidisciplinary in decision making. It is related to the construction of Avatar that can interact with human subject for collecting subjective attributes (emotional and cognitive) and objective attributes (physical), for decision making. paper extends reasoning issues on medical diagnosis related to Virtual Doctor System (VDS). Intuitionistic fuzzy aggregation functions have been used to represent concept reflective to the mental model of the VDS. The VDS project used two physical ontology model and mental ontology model aligned on medical ontology for reasoning. In this paper the mental ontology related to medical diagnosis is the main emphasis. The mental Ontology is represented as two models: Emotion state model, and ego state model. The attributes of mental state are represented as fuzzy intuitionistic criteria. The emotion state related attributes are represented using harmonic hybrid weighted Ordered Intuitionistic fuzzy aggregation function. The ego state related attributes are represented using Bonferroni hybrid weighted average aggregate function. The both aggregate functions as well as the physical ontology aggregate functions are aligned on medical knowledge based for producing aligned inquiry for reasoning in medical knowledge. The model is built for testing.
Źródło:
Journal of Medical Informatics & Technologies; 2013, 22; 13-19
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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