On use of fuzzy logic technology in operating systems

Abstract In this paper, the methodology of using fuzzy logic techniques to improve the performance of an operating system is discussed. Through analysis, we have found that many elements of an operating system, process management, storage management, file management, distributed system management , etc., can be fuzzified so as to tackle the problems with fuzzy information and to allow users to use the computer systems conveniently and efficiently. The aims of fuzzy operating systems built on conventional operating systems are (1) convenience for users : to allow users to operate computer systems naturally and conveniently in both certain and uncertain environments; (2) efficiency of computer systems : to make the computer systems work efficiently and economically under precise as well as fuzzy conditions.

[1]  M. Gupta,et al.  FUZZY INFORMATION AND DECISION PROCESSES , 1981 .

[2]  Abraham Silberschatz,et al.  Operating System Concepts , 1983 .

[3]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[4]  Anant Agarwal,et al.  Analysis of cache performance for operating systems and multiprogramming , 1989, The Kluwer international series in engineering and computer science.

[5]  Harvey M. Deitel,et al.  An introduction to operating systems , 1984 .

[6]  C. Hwang,et al.  Fuzzy Multiple Objective Decision Making: Methods And Applications , 1996 .

[7]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[8]  Dr. Hans Hellendoorn,et al.  An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.

[9]  J. Kacprzyk,et al.  Multiperson decision making models using fuzzy sets and possibility theory , 1990 .

[10]  T. Modis,et al.  Experts in uncertainty , 1993 .

[11]  Valerie Cross,et al.  Fuzzy information retrieval , 1994, Journal of Intelligent Information Systems.

[12]  Michael J. Flynn,et al.  Performance trade-offs for microprocessor cache memories , 1988, IEEE Micro.

[13]  Walter J.M. Kickert,et al.  Fuzzy Theories on Decision Making: A Critical Review , 1979 .

[14]  Wolfgang Schröder-Preikschat,et al.  Progress in Distributed Operating Systems and Distributed Systems Management: European Workshop, Berlin, FRG, April 18/19, 1989, Proceedings , 1990 .

[15]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[16]  P-Z Wang,et al.  Between mind and computer : fuzzy science and engineering , 1994 .

[17]  A. Kandel.  Fuzzy Mathematical Techniques With Applications , 1986 .

[18]  Mamoru Maekawa,et al.  Operating Systems: Advanced Concepts , 1987 .

[19]  H. Zimmermann,et al.  Latent connectives in human decision making , 1980 .