How Fuzzy Is My Fuzzy Description Logic?
نویسندگان
چکیده
Fuzzy Description Logics (DLs) with t-norm semantics have been studied as a means for representing and reasoning with vague knowledge. Recent work has shown that even fairly inexpressive fuzzy DLs become undecidable for a wide variety of t-norms. We complement those results by providing a class of t-norms and an expressive fuzzy DL for which ontology consistency is linearly reducible to crisp reasoning, and thus has its same complexity. Surprisingly, in these same logics crisp models are insufficient for deciding fuzzy subsumption.
منابع مشابه
Modeling Fuzzy Rules with Description Logics
In real application scenarios, input data and knowledge is often vague. Likewise, it is often the case that exact reasoning over data is impossible due to complex dependencies between input data and target outputs. For practical applications, however, good approximations often suffice, and efficient calculation of an approximate answer is often preferable over complex processing which may take ...
متن کاملFuzzy model for risk analysis
The goal of this paper is to show how the concept of fuzzy logic can be used to establish a degree to which an investment project belongs to a class of risk. Also, the probability of the fuzzy event is presented and is ap-plied to calculate the probability of the fuzzy event “the project X is a good investment”. This process has to enable the decision maker to compare several alternative invest...
متن کاملADAPTIVE FUZZY SYSTEMS AND CONTROL . : DESIGN AND STABIL . ITY ANAL . YSIS By LI XIN WANG , PTR PRENTICE HALL
Fuzzy logic systems technology, particularly fuzzy control and fuzzy modeling techniques, is one of the most successful practical applications of fuzzy set and logic theory. In the past few years, the trend has been to combine fuzzy logic systems technology with artificial neural network technology to produce so called neural-fuzzy or fuzzy-neural systems. The objective is to take the advantage...
متن کاملEvolutionary Fuzzy Rule Acquisition for Playing Ms.PacMan
This short description is written for the Ms.PacMan competition in WCCI, held in Hong-Kong. First, instructions, i.e., how to run our implementation, are described. Next, our method is briefly mentioned: the proposed method employs fuzzy logic and the evolution of their fuzzy rule parameters.
متن کاملThe fuzzy logic in air pollution forecasting model
In the paper a model to predict the concentrations of particulate matter PM10, PM2.5, SO2, NO, CO and O3 for a chosen number of hours forward is proposed. The method requires historical data for a large number of points in time, particularly weather forecast data, actual weather data and pollution data. The idea is that by matching forecast data with similar forecast data in the historical data...
متن کامل