Prioritized fuzzy logic based information processing in relational databases

Škrbić, Srdjan; Racković, Miloš; Takači, Arpad

doi:10.1016/j.knosys.2012.01.017

Cited by 13 publications

(6 citation statements)

References 27 publications

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“…This section will recap the framework of prioritized fuzzy constraint satisfaction problems, 10,11 which is widely used in different domains. [12][13][14][15] In such a problem, each fuzzy constraint can have many variables. After variables take values, people have satisfaction degrees for constraints.…”

Section: Preliminariesmentioning

confidence: 99%

Games Played under Fuzzy Constraints

Zhang

Luo

Leung

2015

Int. J. Intell. Syst.

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Psychological experiment studies reveal that human interaction behaviors are often not the same as what game theory predicts. One of important reasons is that they did not put relevant constraints into consideration when the players choose their best strategies. However, in real life, games are often played in certain contexts where players are constrained by their capabilities, law, culture, custom, and so on. For example, if someone wants to drive a car, he/she has to have a driving license. Therefore, when a human player of a game chooses a strategy, he/she should consider not only the material payoff or monetary reward from taking his/her best strategy and others' best responses but also how feasible to take the strategy in that context where the game is played. To solve such a game, this paper establishes a model of fuzzily constrained games and introduces a solution concept of constrained equilibrium for the games of this kind. Our model is consistent with psychological experiment results of ultimatum games. We also discuss what will happen if Prisoner's Dilemma and Stag Hunt are played under fuzzy constraints. In general, after putting constraints into account, our model can reflect well the human behaviors of fairness, altruism, self‐interest, and so on, and thus can predict the outcomes of some games more accurate than conventional game theory.

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Section: Preliminariesmentioning

confidence: 99%

Games Played under Fuzzy Constraints

Zhang

Luo

Leung

2015

Int. J. Intell. Syst.

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“…Moreover, the paper defines and implements a complete fuzzy relational database application development solution [1][2][3][4].…”

Section: Related Workmentioning

confidence: 99%

“…It has been established that the 1 2 logic provides enough elements [8,9]. The following section of this paper looks at the possibilities of using fuzzy logic with XML documents.…”

Section: Related Workmentioning

confidence: 99%

“…The result of this generalization is the GPFCSP, thus providing the formal basis for the development of fuzzy language with the priorities. A detailed description of calculating and using priorities and thresholds can be found in [1,5,6].…”

Section: Prioritized Fuzzy Xquery Extensionmentioning

confidence: 99%

“…The research has thus far, however, focused on defining the prioritized fuzzy logic in relational data bases, as shown in the paper [1]. As opposed to others, this paper focuses on using priority fuzzy logic to work with XML documents.…”

Section: Comparison To the Other Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy XML and prioritized fuzzy XQuery with implementation

Panić

Racković

Škrbić

2014

Journal of Intelligent &Amp; Fuzzy Systems

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In real life, as opposed to virtual, most information comes in the form of imprecise or incomplete values. XML technology has made great progress in the field of storage and data transfer. We developed XML extension which combines indefiniteness in the values of XML and indefiniteness in the structure of XML into a single fuzzy XML extension. Furthermore, this paper expands XQuery syntax with fuzzy values and includes priorities and thresholds in fuzzy XQuery extension using GPFCSP for the first time. Unlike other papers that focus on setting up theories and defining syntax, in this paper, special attention is turned to their practical use. A tool for working with XML, XSD and DTD documents and prioritized fuzzy XQuery extension queries has been developed. One of the advantages of this tool is defining arbitrary membership functions. The developed tool enables defined fuzzy XML extension and their performance to be tested in practice.

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