Fuzzy Formal Concept Analysis

Brito, A. S.; Barros, Laécio Carvalho de; Laureano, Estêvão Esmi; Bertato, Fábio Maia; Coniglio, Marcelo E.

doi:10.1007/978-3-319-95312-0_17

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…[3].Medical modeling in many cases deals with uncertainty and depend on many factors that are unmeasured that lead to low accuracy in diagnosis, in the first research was deal with uncertainty and solve a different problem which was introduced by Zadeh as a methodology for computing with words in order to handle uncertainty [4]. Fuzzy applications have a virtually exploded, affecting things we use every day, they use fuzzy sets to construct fuzzy query languages for purposes of information retrieval [5], and other researchers use linguistic hedge such as very, more or less, much, essentially, slightly called a hedge operator [6] [7]. this intelligent gap can understand by computer systems if they use Fuzzy logic in a better way by handling Uncertainty.…”

Section: Related Workmentioning

confidence: 99%

“…and other researchers proposed a fuzzy as a Formal of Concept Analysis (FFCA) approach for conceptual clustering for automatic generation of concept hierarchy from uncertainty information. the first paper reveals the interdisciplinary methodological interdependence between the programming and the linguistic data set and the design/presentation of fully fuzzified electronic language data sets based on the combined principle of Neuro-Fuzzy systems [10] [11]. Fuzzy logic and fuzzy reasoning were used to deal with uncertain information for reasoning with Sanskrit grammar, and provide answers to questions using a method that offers word definitions, with the aim of reducing the time lag that results from askers having to wait for answers to a question from various users [12].…”

Section: Related Workmentioning

confidence: 99%

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A Proposed Fuzzy Model for Diseases Diagnosis

Alkholy¹,

Aboutabl²,

Haggag³

2020

IJEAT

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Decision making has become a problem in environments full of uncertain, vague and imprecise information. They face many problems to train computer systems to simulate human thinking to make the right decision. Different methodologies and approaches have been used to train computers to understand and mimic human thinking. This paper proposes a fuzzy model for a bone disease to have the right diagnosis answer, as a human expertise doctor. and to prove that using fuzzy logic has a significant ability to mimic human thinking. The model accepts inputs in the different forms as physiological and clinical parameters and all data based on medical expertise, using a rule-based fuzzy system approach applied with fourteen rules to have final accurate output decisions. it has been tested in the orthopedic unit against the real existing diagnosis answer from expertise doctor and found that is capable of assisting medical experts in diagnosing diseases and provide good health services to their patients.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Proposed Fuzzy Model for Diseases Diagnosis

Alkholy¹,

Aboutabl²,

Haggag³

2020

IJEAT

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“…Over the past 30 years, the initial theory of FCA has been combined with and fertilized by other research domains in mathematics, including deception logics and conceptual graphs [44]. To handle the uncertainty and vagueness in data, FCA has been successfully extended with a fuzzy setting, an interval-valued fuzzy setting, possibility theory, a rough setting and triadic concept analysis ( [12], [15], [16], [38], [39], [43] and [53]).…”

Section: Introductionmentioning

confidence: 99%

Graded Galois Lattices and Closed Itemsets

Sotoudeh¹,

Goudarzi²,

Nikoukar³

2021

Preprint

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The Galois lattice is a graphic method of representing knowledge structures. The first basic purpose in this paper is to introduce a new class of Galois lattices, called graded Galois lattices. As a direct result, one can obtain the notion of graded closed itemsets (sets of items), to extend the definition of closed itemsets. Our second important goal in this paper, is related to set a constructive method, computing the graded formal concepts and graded closed itemsets. We mean by a constructive method, a method that builds up a complete solution from scratch by sequentially adding components to a partial solution until the solution is complete. Besides of computational aspects, our methods in this paper are based on the strong results obtained by special mappings in the realm of domain theory. To reach the fertilized consequences and constructive algorithms, we need to push the study to the structures of Banach lattices.

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