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A novel solution is proposed to an important problem of learning real querying preferences and intentions from users who need to retrieve interesting information from a database but are not in a position to specify their information needs and/or intentions using a query language due to lack of knowledge and/or experience. A solution is proposed that is based on the presentation to the user of consecutive...
We present a new approach to the evaluation of the similarity of time series. We consider, as in our previous works, the case of linguistic summarization of the past performance of an investment (mutual) fund and its underlying benchmark which is very important for an effective and efficient investment decision support. We propose a new comparison method based not on the comparison of the consecutive...
This paper is a continuation of our previous work on Pearson's coefficient r and we introduce the concept of the Spearman correlation coefficient between Atanassov's intuitionistic fuzzy sets (A-IFSs, for short) to measure the degree of association between A-IFSs when the assumption that the data distributions are normal is not valid or when data are in the form of ranks.
We discuss a conceptually new extension of our previous works in which we proposed a concept of a consensus reaching support system based on a new, gradual notion of consensus devised in the framework of fuzzy preference relations and a fuzzy majority. Here, first of all, we propose the use of action rules as a tool to generate some advice as to the further running of discussion in the group. Moreover,...
We further extend our approach to the linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrozny) in which an approach based on a calculus of linguistically quantified propositions is employed, and the essence of the problem is equated with a linguistic quantifier driven aggregation of partial scores (trends). In addition to the basic criterion of a degree of truth (validity), we also...
We propose a new solution to a ranking oriented multi-criteria decision making problem for the alternatives expressed via Atanassov's intuitionistic fuzzy sets (A-IFSs, for short). We show that the new solution better fulfills our expectations than methods proposed in the literature which fail in some situations.
We present an approach to a more efficient generation of linguistic summaries using the traditional degree of truth and a degree of focus based mechanism for discarding nonpromising summaries. We use the approach to derive linguistic data summaries to subsume the past performance of an investment (mutual) fund, and then present numerical results on the efficiency of the truncation process proposed...
Linguistic database summaries in the sense of Yager (1982), further extended to an implementable form by Kacprzyk & Yager (2001) and Kacprzyk, Yager & Zadrozny (2000), are extremely simple natural language like statements exemplified by, for a personnel database, ldquomost employees are young and well paidrdquo (with some degree of truth). They have been implemented in business contexts (cf...
This paper is a continuation of our previous works on typicality in terms of Atanassovpsilas intuitionistic fuzzy sets (A-IFSs, for short)1 We follow the line of reasoning known from psychological and cognitive sciences, in particular from linguistic experiments, and verify how those results work in classification - a typical problem in computer science, decision sciences, etc. We concentrate on a...
Taking as a point of departure our works on linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrozny [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]) in which an approach based on a calculus of linguistically quantified propositions was proposed, and the essence of the problem was equated with a linguistic quantifier driven aggregation of partial scores (trends), we present...
In this paper we consider the problem of determining typical values. We heavily refer to some results of linguistic experiments in psychology and cognitive science. Since analyzes employed in those areas, which make use of some considerations on how an object is typical to a category and its related so called contrast category, we propose the use of Atanassovpsilas intuitionistic fuzzy sets (to be...
We show how Zadehpsilas calculus of linguistically quantified propositions can be applied to avoid duplicate names in a publication database of a research institute. This problem, in its most general form, is studied in the literature by various communities. Here we focus on a specific scenario in which a need for its solution arises. Moreover, we make an attempt to apply fuzzy logic based concepts...
In this paper, we present the results of an experimental comparison of various aggregation operators used in a fuzzy information retrieval model we have recently proposed. The essence of this model is the use of Zadeh's linguistic statements to represent the documents and queries and then to determine their degree of matching. This leads to the use of the minimum operator but in computational experiments...
Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially "fuzzy fuzzy" sets where the fuzzy degree of membership is a type-1 fuzzy set. The new concepts were introduced by Mendel and Liang allowing the characterization of a type-2 fuzzy set with a superior membership function...
Summary form only given. First, we briefly advocate a need of natural language based methods in data mining, notably whew domain experts have a limited knowledge of modern tools of information technology. We present some approaches to linguistic summarization of sets of (numeric and/or textual) data, and show that a fuzzy logic based approach by Yager (1982), notably in its extended and implementable...
We propose here some new types of linguistic summaries of time series by extending our previous works. First, the linguistic summaries of time series refer to the summaries of (partial) trends identified here with straight line segments of a piece-wise linear approximation of a time series that is proposed in the paper. To characterize the trends we use the slope of the line segment, the goodness...
Summary form only given. First, we briefly present the essence of some new computing paradigms that try to attain a synergy, and bridge the gap between the human user and computer systems, notably the so-called: human centric computing, human centered computing, human computing, etc. We present a brief account of modern approaches to real world decision making, emphasize the concept of a decision...
In this paper a brief introduction to hybrid intelligent systems is presented. Hybrid intelligent systems can be developed by a suitable combination of soft computing methodologies. In particular, the applications of hybrid intelligent systems to pattern recognition and intelligent manufacturing are briefly described. The importance of designing and implementing hybrid intelligent systems for real-world...
We show how linguistic data (base) summaries, originated by Yager [26] and further developed first, in a more conventional form, by Kacprzyk and Yager [7], and Kacprzyk, Yager and Zadrozny [8], and then, in a more general context of Zadeh's protoforms, and a more implementation oriented context by Kacprzyk and Zadrozny [16], can be employed for deriving human consistent summaries of Web server logs...
This paper is a continuation of our previous works on similarity measures of Atanassov intuitionistic fuzzy sets (to be called A-IFSs, for short). The similarity measures we considered used all three functions (membership, non-membership and hesitation) to represent A-IFSs, and examined two kinds of distances - one to an object to be compared, and one to its complement. The disadvantage of those measures...
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