Conjunction and disjunction operations for digital fuzzy hardware

Authors:
Antonio HernáNdez Zavala;Ildar Z. Batyrshin;Oscar Camacho Nieto;Oscar Castillo
Affiliations:
Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada - Instituto Politécnico Nacional, Av. Cerro Blanco #141, Col. Colinas del Cimatario, Querétaro, Querétaro ...;Instituto Mexicano del Petróleo, Eje central Lázaro Cárdenas Norte No. 152, Col. San Bartolo Atepehuacan, Gustavo A. Madero, DF, México, C.P. 07730, México;Centro de Investigación en Computación - Instituto Politécnico Nacional, Av. Juan de Dios Bátiz s/n, Esq. Miguel Othón de Mendizábal, Col. Industrial Vallejo, Gustavo ...;Tijuana Institute of Technology, Calzada Tecnológico s/n, Fracc. Tomas Aquino, Tijuana, México, C.P. 22379, México
Venue:
Applied Soft Computing
Year:
2013

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Abstract

Fuzzy systems have been explored in diverse application fields which require reaching fuzzy inferences at high computer rates. To accomplish this task, fuzzy hardware is the best choice. At inference engine, conjunction and disjunction operations play a very important role for decision making. Common operations in existing fuzzy hardware are minimum, maximum, algebraic product and probabilistic sum. In order to extend the applicability of existing fuzzy hardware, it is necessary to consider a wider range of operations. It is even desirable to have configurable circuits which take advantage of hardware resources. This work presents the hardware implementation of configurable circuits for the realization of diverse fuzzy t-norm and t-conorm operations. Resultant circuits are low hardware resource consumers which makes them efficient to be used as add-in modules for existing fuzzy hardware in FPGA or ASIC. Comparative results are presented showing the advantages of these circuits.