Branch-and-Bound-Type Methods

Kubica, Bartłomiej Jacek

doi:10.1007/978-3-030-13795-3_4

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Computational Complexity Of Membership Function Settings1

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2019

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“…To reduce complexity, the use of the branch and bound method [22] can be proposed, which is used to find optimal solutions to various optimization problems, especially discrete and combinatorial optimization. In essence, the method is a variation of exhaustive search with elimination of subsets of feasible solutions that obviously do not contain optimal solutions.…”

Section: Computational Complexity Of Membership Function Settingsmentioning

confidence: 99%

Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems

Moheb¹

2019

IJATCSE

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This article proposes a mechanism for processing fuzzy symptoms, as well as all related factors presented in natural language, which made it possible to improve the intellectual decision-making system in the field of cardiology by adjusting membership functions. The computational complexity of solving the problem according to the criterion of time costs is determined, it is close to exponential from the selected calculation accuracy, which indicates the effectiveness and the absence of disadvantages of the proposed mechanism for a given criterion. The software implementation of the mechanism for setting membership functions in a fuzzy intellectual system is implemented in the Python 3.6 object-oriented programming environment. The laboratory operation of a fuzzy intellectual system has confirmed the high reliability of making objective decisions in the medical subject area.

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Section: Computational Complexity Of Membership Function Settingsmentioning

confidence: 99%

Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems

Moheb¹

2019

IJATCSE

View full text Add to dashboard Cite

show abstract

Branch-and-Bound-Type Methods

Cited by 1 publication

References 30 publications

Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems

Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems

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