FQUERY III+: A “human-consistent” database querying system based on fuzzy logic with linguistic quantifiers

Kacprzyk, Janusz; Zadrożny, Sławomir; Ziółkowski, Andrzej

doi:10.1016/0306-4379(89)90012-4

Cited by 115 publications

(45 citation statements)

References 10 publications

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“…For simplicity we assume just for now that we have simple, atomic conditions with constraints on the values of the attributes characterizing a given relation (table), and these atomic conditions are connected using the logical connectives of the conjunction, disjunction and negation; notice that we do not consider for now the use of linguistic quantifiers as proposed by Kacprzyk, Zadrożny and Ziółkowski [24,25]; and they will be introduced into the bipolar queries in the next section.…”

Section: Bipolar Fuzzy Database Queries and Related Workmentioning

confidence: 99%

“…which play the role of flexible aggregation operators. This leads to the concept of a fuzzy query with a linguistic quantifier introduced by Kacprzyk and Ziółkowski [24], and then Kacprzyk, Ziółkowski and Zadrożny [25]. Basically, this approach boiled down to the aggregation of conditions in the WHERE clause of the SQL SELECT statement as, e.g.…”

Section: Introductionmentioning

confidence: 99%

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Compound bipolar queries: combining bipolar queries and queries with fuzzy linguistic quantifiers

Kacprzyk¹,

Zadrożny²

2013

Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology

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We propose a conceptually new type of bipolar queries meant as those in which a required condition, to be necessarily satisfied, and desired condition, to be satisfied if possible, are included. In the new type of bipolar queries, termed compound bipolar queries, both the required and desired conditions have been assumed to be queries with fuzzy linguistic quantifiers as introduced in the earlier works of the authors. We propose a logical formulation of the resulting compound bipolar queries for which a truth value can be calculated. The new type of a bipolar query proposed is a further step towards a higher human consistency of database queries to be employed by non-expert human users of an obvious limited command of database querying.

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Section: Bipolar Fuzzy Database Queries and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Compound bipolar queries: combining bipolar queries and queries with fuzzy linguistic quantifiers

Kacprzyk¹,

Zadrożny²

2013

Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology

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“…In particular, a distinction can be made between mandatory and desired query conditions. These conditions can still contain vague terms modelled by fuzzy sets as in regular 'fuzzy' querying [38,22,5,7,21,4,46]. For example, in [48] an approach is presented where bipolar queries are represented as a special case of the fuzzy 'winnow' operator.…”

Section: Bipolar Query Conditionsmentioning

confidence: 99%

“…A lot of research has been done to translate this 'fuzziness' to the domain of database querying, resulting in 'fuzzy' querying of regular databases, where the queries are composed of several 'fuzzy' query conditions, interconnected by logical connectives. Indeed, the main lines of research in this area include the study of modeling linguistic terms (like, e.g., young or high) in the specification of elementary query conditions using elements of fuzzy logic [38] and the enhancement of fuzzy query formalism with soft aggregation operators [23,22,6,15]. Both linguistic terms and soft aggregations model user's preferences [4] and, as such, require a query satisfaction modeling framework that supports rank-ordering the records retrieved in response to a query according to the degree to which they satisfy all conditions imposed by the query.…”

Section: Introductionmentioning

confidence: 99%

Constraint-Wish and Satisfied-Dissatisfied: An Overview of Two Approaches for Dealing with Bipolar Querying

Matthé

Nielandt

Zadrożny

et al. 2013

Flexible Approaches in Data, Information and Knowledge Management

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In recent years, there has been an increasing interest in dealing with user preferences in flexible database querying, expressing both positive and negative information in a heterogeneous way. This is what is usually referred to as bipolar database querying. Different frameworks have been introduced to deal with such bipolarity. In this chapter, an overview of two approaches is given. The first approach is based on mandatory and desired requirements. Hereby the complement of a mandatory requirement can be considered as a specification of what is not desired at all. So, mandatory requirements indirectly contribute to negative information (expressing what the user does not want to retrieve), whereas desired requirements can be seen as positive information (expressing what the user prefers to retrieve). The second approach is directly based on positive requirements (expressing what the user wants to retrieve), and negative requirements (expressing what the user does not want to retrieve). Both approaches use pairs of satisfaction degrees as the underlying framework but have different semantics, and thus also different operators for criteria evaluation, ranking, aggregation, etc.

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“…Tahani [16] develops a high-level conceptual framework for processing fuzzy query in a conventional non-fuzzy Database environment. Kacprzyk et al [17,18] present a fuzzy query system called Fquery III. Through Fquery III, Dbase III plus (a commercial non-fuzzy micro computer-based RDBS) data can be operated on using fuzzy query.…”

Section: Category 1: Traditional Dbms With Fuzzy Queriesmentioning

confidence: 99%

Analysis and Usage of Fuzzy Logic for Optimized Evaluation of Database Queries

Singh¹,

Sayal²,

Rao³

2011

IJCA

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The majority of existing information systems deals with crisp data through crisp database systems. Retrieval of specific queries through fuzzy logic systems have been a rare approach in research. Use of fuzzy logic rule based systems on data bases has shown efficient results experimentally. As such no early work has been done on combination of rule based systems with the database queries to give an efficient output. This paper brings such concise theme of evaluating a student"s performance through such rule based systems. The aim of this paper is to present various fuzzification logic combined with rule based systems. Further experimentally this paper proves that for specific applications on databases using rule based systems can give much better results rather than using simple crisp queries with simple database management. This paper also gives a brief overview of various fuzzy logics, concepts fuzzification and defuzzification. This novel property of rule based system on any database system to evaluate for the performances is the main theme of this paper.

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FQUERY III+: A “human-consistent” database querying system based on fuzzy logic with linguistic quantifiers

Cited by 115 publications

References 10 publications

Compound bipolar queries: combining bipolar queries and queries with fuzzy linguistic quantifiers

Compound bipolar queries: combining bipolar queries and queries with fuzzy linguistic quantifiers

Constraint-Wish and Satisfied-Dissatisfied: An Overview of Two Approaches for Dealing with Bipolar Querying

Analysis and Usage of Fuzzy Logic for Optimized Evaluation of Database Queries

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