Janusz Kacprzyk - Academia.edu (original) (raw)

Papers by Janusz Kacprzyk

Advances in Intelligent Systems and Computing, 2018

The series "Advances in Intelligent Systems and Computing" contains publications on theory, appli... more The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing. The publications within "Advances in Intelligent Systems and Computing" are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and worldwide distribution. This permits a rapid and broad dissemination of research results.

Studies in Computational Intelligence, 2016

The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances ... more The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence-quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the worldwide distribution, which enable both wide and rapid dissemination of research output.

Advances in Intelligent Systems and Computing, 2016

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

The paper concerns the problem of reaching consensus among agents in group decision making. A pop... more The paper concerns the problem of reaching consensus among agents in group decision making. A popular framework of individual preferences expressed as (fuzzy) preference relations is adopted. The consensus reaching process is assumed to be based on a discussion in the group of agents, which is expected to make the initially expressed preferences closer one to another. We present a novel approach to the modeling of the consensus reaching process as a game, in the sense of game playing. We use the Monte Carlo Tree Search (MCTS) algorithm with the Upper Confidence Bounds Applied for Trees selection formula, which is a state of the art solution algorithm in that area. The consensus reaching process is modeled as a sequence of actions, referred to as moves, of the individual agents involved. A model of the assessment of a configuration of the individual preference relations is proposed. A decision support system that implements the approach proposed is developed, which provides the agents with an easy to read evaluation of the expected outcome of each move. The approach constitutes a new paradigm in the modeling of a consensus reaching process, and then its support.

Studies in Computational Intelligence

Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

We consider the problem of the evaluation of similarity of voting procedures which are crucial in... more We consider the problem of the evaluation of similarity of voting procedures which are crucial in voting, social choice and related fields. We extend our approach proposed in our former works and compare the voting procedures against some well established and intuitively appealing criteria, and using the number of criteria satisfied as a point of departure for analysis. We also indicate potential of this approach for extending the setting to a fuzzy setting in which the criteria can be satisfied to a degree, and to include a distance based analysis. A possibility to use elements of computational social choice is also indicated.

A new text categorization problem is introduced. As in the classical problem, there is a set of d... more A new text categorization problem is introduced. As in the classical problem, there is a set of documents and a set of categories. However, in addition to being assigned to a specific category, each document belongs to a certain sequence of documents, referred to as a case. It is assumed that all documents in the same case belong to the same category. An example may be a set of news articles. Their categories may be sport, politics, entertainment, etc. In each category there exist cases, i.e., sequences of documents describing, for example evolution of some events. The problem considered is how to classify a document to a proper category and a proper case within this category. In the paper we formalize the problem and discuss two approaches to its solution.

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020

Two similar approaches to the modeling of bipolar user preferences, namely bipolar queries (and t... more Two similar approaches to the modeling of bipolar user preferences, namely bipolar queries (and their extension to contextual bipolar queries) and queries with relative object qualification, are presented from the point of view of a userassisted database querying. Their close relation is discussed, similarities and differences highlighted and possible disadvantages for the user studied. Then a direct, practical comparison of both approaches supported by computational examples on a simplified, yet realistic data set is presented and discussed and possible implementation and usage recommendations are made.

2015 IEEE Symposium Series on Computational Intelligence, 2015

We consider a particular type of text categorization problem which we refer to as the multiaspect... more We consider a particular type of text categorization problem which we refer to as the multiaspect classification. It is inspired by some practical scenario of business documents management in a company but has a broader application potential. A distinguishing feature of the new problem considered is the existence of two schemes of classification. The first one is based on the traditional, static set of text categories, possibly arranged into a hierarchy. The second one is based on a dynamic structure of sequences of documents, referred to as cases, identified within each category. While the former problem may be addressed using one of the well known techniques of text categorization (classification), the latter seems to require some distinct approaches due to the fact that the set of cases is unknown in advance, as well as due to the assumed limited number of training documents, if a case should be interpreted as a classic category. In the paper, we discuss the problem in a more detail as well as show the applicability of an intuitively appealing two stage approach to solving the problem of such a multiaspect text categorization.

2010 10th International Conference on Intelligent Systems Design and Applications, 2010

Abstract A novel solution is proposed to an important problem of learning real querying preferenc... more Abstract 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 ...

Studies in Fuzziness and Soft Computing, 2002

A group decision support system is presented. The main concern is an effective support for the co... more A group decision support system is presented. The main concern is an effective support for the consensus reaching process. The point of departure are linguistic assessments of options with respect to multiple criteria. These are processed to obtain individual and group preference structures as well as an assessment of the consensus in the group. A pilot implementation of the system in the WWW environment is presented.

Studies in Fuzziness and Soft Computing

We show how Zadeh’s idea of computing with words and perceptions, based on his concept of a preci... more We show how Zadeh’s idea of computing with words and perceptions, based on his concept of a precisiated natural language (PNL), can lead to a new direction in the use of natural language in data mining, linguistic data(base) summaries. We emphasize the relevance of Zadeh’s another idea, that of a protoform, and show that various types of linguistic data summaries

Advances in Soft Computing

Studies in Fuzziness and Soft Computing, 2011

We deal with the classic approach to the evaluation of of a degree of consensus due to Kacprzyk a... more We deal with the classic approach to the evaluation of of a degree of consensus due to Kacprzyk and Fedrizzi [21, 22, 23] in which a soft degree of consensus has been introduced as a degree to which, for instance, “most of the important individuals agree as to almost all of the relevant options”. The fuzzy majority is equated with

Lecture Notes in Computer Science, 1999

We propose an interactive approach to the linguistic summarization of databases. The point of dep... more We propose an interactive approach to the linguistic summarization of databases. The point of departure is that a fully automatic generation of summaries is presently impossible, and an interaction with the user is necessary; the user is to specify a class of summaries of interest or relevance. For an implementation of such an interactive approach, a human-friendly database querying interface is employed, and we propose to use our FQUERY for Access querying add-on. An implementation of two relevant types of summaries is shown.

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013

ABSTRACT We are concerned with the so-called bipolar database queries which are meant here as tho... more ABSTRACT We are concerned with the so-called bipolar database queries which are meant here as those in which the query is composed of a necessary and optional part connected with a non-conventional aggregation operator “and possibly” as, for instance, in the query “find houses in a database of a real estate agency which are cheap and possibly close to a railroad station”. We first analyse some foundational issues related to the bivariate unipolar scales employed, and various interpretations of the “and possibly” aggregation operator. We concentrate on its logical representation via various connectives known in multivalued (fuzzy) logic. We propose a novel concept of a hierarchical bipolar database query in which, basically, the original query is considered a level 0 query at the bottom of the precisiation hierarchy, then its necessary and optional parts are assumed to be bipolar queries themselves. This makes it possible to further precisiate the user's intentions/preferences. A level 1 of precisiation is obtained, and the process is continued as far as it is necessary for the user to adequately reflect his/her intentions/preferences as to what is sought.

The Ordered Weighted Averaging Operators, 1997

We present an implementation of the OWA operators in FQUERY for Access (Kacprzyk and Zadrozny, 19... more We present an implementation of the OWA operators in FQUERY for Access (Kacprzyk and Zadrozny, 1994a, b; 1995a, b; 1997), an add-on for Microsoft Access supporting fuzzy queries of the type ”find all records such that the values of, e.g. most of the important fields are as specified (possibly fuzzily”. The OWA operators are used as general aggregation operators for fuzzy linguistic quantifier quided aggregation of atomic conditions in the query.

IEEE International Conference on Fuzzy Systems, 2000

Originally, most of the popular group decision making rules were conceived for classical (crisp) ... more Originally, most of the popular group decision making rules were conceived for classical (crisp) preference relations (orderings), and then extended to the case of traditional fuzzy preference relations. We propose to further extend them to linguistic preference relations. A Linguistic OWA operators guided aggregation of preferences is employed. The approach proposed is an example of the use of the new

Techniques, Applications and Technologies

For an effective and efficient information search of databases, various issues should be solved. ... more For an effective and efficient information search of databases, various issues should be solved. A very important one, though still usually neglected by traditional database management systems, is related to a proper representation of user preferences and intentions, and then their representation in querying languages. In many scenarios, they are not clear-cut, and often have their original form deeply rooted in natural language implying a need of flexible querying. Although the research on introducing elements of natural language into the database querying languages dates back to the late 1970s, the practical commercial solutions are still not widely available. This chapter is meant to revive the line of research in flexible querying languages based on the use of fuzzy logic. This chapter recalls details of a basic technique of flexible fuzzy querying, discusses some newest developments in this area and, moreover, shows how other relevant tasks may be implemented in the framework o...