Study of fuzzy expert system for the diagnosis of various types of cancer

Boadh, Rahul; Grover, Reena; Dahiya, Mamta; Kumar, Ajay; Rathee, R.; Rajoria, Yogendra Kumar; Rawat, Meena; Rani, Sangeeta

doi:10.1016/j.matpr.2022.01.161

Cited by 12 publications

(1 citation statement)

References 59 publications

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“…[9] discussed the importance of this specific tool in human disease diagnostics. In this line, [10] studied the diagnosis of diverse types of cancer using the FES. Also, several researchers applied the Expert System in recognition of hypothyroidism [11], child anemia [12], depression [13], and Uveitis [14].…”

Section: Introductionmentioning

confidence: 99%

Development of an expert system based on fuzzy logic as support for heat pipes design

Betancur-Arboleda

Hulse

Krambeck³

et al. 2023

PEN

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Heat pipe design and selection require specialist knowledge due to numerous possible combinations and restrictions that should be taken into account. The general objective of this work is to design a Specialist System that assists future engineers in material and working fluid selection for a suitable heat pipe application, based on the technical operating requirements. The methodology consisted of a qualitative perspective through interviews with two specialist engineers in the heat pipes area. The resulting information from the interviews was organized into a library, working as a source for the specialist system. In addition, several books from the literature completed the information in the library. Based on the operating conditions and the provided library, the program recommends suitable materials and working fluids and the necessity of porous media for the application, similar to a consult with a heat pipe specialist. The new expert system can be a tool for researchers and engineers in heat pipe design as passive control systems, providing more suitable solutions for each application.

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