Fuzzy conditional inference and application to Wireless Sensor Network Fuzzy Control Systems

Author

Reddy, P. Venkata Subba

Author_Institution

Dept. of Comput. Sci. & Eng., Sri Venkateswara Univ., Tirupati, India

fYear

2015

fDate

9-11 April 2015

Firstpage

1

Lastpage

6

Abstract

Zadeh, mamdani and TSK are proposed different fuzzy conditional inferences for “if ... then ...” to approximate with incomplete information. The Zadeh and mamdani fuzzy conditional inferences are require prior information for consequent part. The TSK fuzzy conditional inference need not know prior information for consequent part but it is difficult to compute. In this paper, new methods are proposed for “if ... then ...” when prior information is not known to consequent part with single fuzzy membership function and two fuzzy membership functions. The two fold fuzzy set made single fuzzy membership function as Fuzzy Certainty Factor(FCF). Sensors are discussed as application for proposed fuzzy conditional inference. Fuzzy inference system (FIS) is discussed for WSN to detect Costal erosion and Turbo Charger Fuzzy Control System as an examples.

Keywords

fuzzy control; fuzzy reasoning; fuzzy set theory; telecommunication control; wireless sensor networks; fuzzy certainty factor; fuzzy conditional inference; fuzzy control systems; fuzzy inference system; single fuzzy membership function; two fuzzy membership functions; wireless sensor network; Fuzzy control; Fuzzy logic; Fuzzy sets; Sensor systems; Wireless communication; Wireless sensor networks; fuzzy conditional inference; fuzzy logic;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control (ICNSC), 2015 IEEE 12th International Conference on

Conference_Location

Taipei

Type

conf

DOI

10.1109/ICNSC.2015.7116000

Filename

7116000