Tuesday 16th of April 2024
 

System Performance Ratings of High Speed Nano Devices Using Fuzzy Logic


Ak. Ashakumar Singh, Y. Surjit Singh and K. Surchandra Singh

A single dimension cannot quantify or properly express the performance of high speed Nano devices. It is very difficult to interpret high speed Nano devices parameters without knowing what application (users) are involved. The system performance parameters of (In, Ga)As are Ac mobility, Lattice Temperature, Electron Temperature, Carrier Concentration, and Channel Length. These system parameters need to be frequently updated based on feedbacks from implementation of previous parameters. These feedbacks are always stated in the form of ordinal ratings, e.g. “high speed”, “average performance”, “good condition”. The Different people can describe different values to these ordinal ratings without a clear-cut reason or scientific basis. There is need for a way or means to transform vague ordinal ratings to more appreciable and precise numerical estimates. The paper transforms the ordinal performance ratings of some system performance parameters to numerical ratings using Fuzzy Logic.

Keywords: Fuzzy Set Theory, System Performance, Performance Strategies, Transformation

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ABOUT THE AUTHORS

Ak. Ashakumar Singh
Ak. Ashakumar Singh graduated in Mathematics from Manipur University, Imphal and passed MCA in the year 2000 from the same varsity. He was awarded Ph.D. in the area of Computer Science from the Dept. of Mathematics of the same varsity in the year 2008. Then produced eight M.Phil scholars in Computer Science and now supervising three scholars leading to Ph.D. in Computer Science. The area of research is on Soft computing and related applications of computer science.

Y. Surjit Singh
Dept. of Computer Science, CMJ University, Shillong, India

K. Surchandra Singh
Dept. of Computer Science, CMJ University, Shillong, India


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