Conjunction and disjunction operations for digital fuzzy hardware

被引:13
作者
Hernandez Zavala, Antonio [1 ]
Batyrshin, Ildar Z. [2 ]
Camacho Nieto, Oscar [3 ]
Castillo, Oscar [4 ]
机构
[1] Inst Politecn Nacl, Ctr Invest Ciencia Aplicada & Tecnol Avanzada, Queretaro 76090, Mexico
[2] Inst Mexicano Petr, Mexico City 07730, DF, Mexico
[3] Inst Politecn Nacl, Ctr Invest Computac, Mexico City 07738, DF, Mexico
[4] Tijuana Inst Technol, Mexico City 22379, DF, Mexico
关键词
Fuzzy system; Digital hardware; Conjunction; Disjunction; t-norm; t-conorm; MULTIPLE-INPUT MAXIMUM; CURRENT-MODE; LOGIC; INFERENCE; CIRCUITS;
D O I
10.1016/j.asoc.2013.02.014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:3248 / 3258
页数:11
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