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In current times, there has been a surge in the amount of collected data from computational systems. The vast amount of data can be useful in many applications and fields, particularly so in Big Data Analytics. However with a large collection of data there is a difficulty discovering important information. Automatic Document Summarization (ADS) systems are suitable for the task of outlining useful...
The paper describes building systems for computational linguistics based on an approach to the image text comprehension. There had been suggested a set theoretical formalization for such type of systems using the fuzzy sense relationship. The possibilities of conceptual approach had been demonstrated on the solution examples of such tasks as searching for reference words, building lexical ontology...
This paper deals with the simulation and modelling of a Quadruple-Tank interacting system using various controllers. Quadruple-Tank is a one kind of MIMO (Multiple Input Multiple Output) system. It is not possible to determine all the parameters used in Multi variable systems. The major issues in a multivariable process are that loop interaction can arise and causes difficulty in design of feedback...
Research on the semantic gap has considered differences between user and computer image interpretations and proposed methods to bridge it. These methods have been verified by comparing results to reference data or by measuring the degree of user acceptance. Although these methods result in a narrower semantic gap between computers and users, the resulting model for a specific user and search goal...
In generating natural speech by machines, removing the suprasegmental information (such as stress, timing and pitch frequency) results in unpleasant speech. To provide this information for synthesizing natural speech in Farsi language, a dynamic neural network (DNN) is used in this study. The inputs of DNN are word-level and syllable-level features as part of speech tags, word length, and type of...
Expressing user's preferences in database querying is best achieved by fuzzy modeling of linguistic terms included in selection criteria. This paper deals with temporal criteria, for querying date/time columns in classical relational databases. Fuzzy models for some linguistic terms and ways to operate with them, in order to evaluate queries, are proposed.
In some group decision making problems of real life not only is significant to rank the alternatives but it also is important to measure how much consensus this solution conveys to the group. Due to this fact, in this work we propose a new methodology to measure the degree of consensus obtained by a group decision making process. To develop that approach, we define a class of consensus measures based...
One of the most important features of fuzzy set theory is its potential for the modeling of natural language expressions. Most works done on this topic focus on some parts of natural language, mostly those that correspond to the so-called “evaluating linguistic expressions”. We build constraints for the mathematical substitutes of these expressions to mark characteristic limits on an ordered scale...
With the rapid development of computer, insecurity factors(such as computer virus, hacker) influences the development of MIS, safety risk evaluation has been an important task. This paper describes a risk evaluation method for MIS based on fuzzy set theory which uses linguistic variables and respective fuzzy numbers to evaluate the factors. The primary weights of factors and evaluation of alternatives...
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