Fuzzy Conditional Inference and Application to Wireless Sensor Network

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Poli Venkata Subba Reddy
Poli Venkata Subba Reddy
α Sri Venkateswara University Sri Venkateswara University

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Fuzzy Conditional Inference and Application to Wireless Sensor Network

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Abstract

Zadeh, Mamdani, and TSK were proposed different fuzzy conditional inference for “if … then … “to approximate incomplete information. The Zadeh and Mamdani fuzzy conditional inferences require prior information for the consequent part. The TSK fuzzy conditional inference need not to know prior information for the consequent part, but it is difficult to compute. In this paper, new method is proposed for the position containing “if … then …” when prior information is not know the consequent part. Fuzzy Wireless Sensor Networks are discussed an application for proposed fuzzy conditional inference. Fuzzy inference system (FIS) is also discussed for WSN to detect Coastal erosion and Turbo Charger fuzzy controls System an examples.

References

11 Cites in Article
  1. Arabinda Nanda,Amiya Kumar Rath,Kuma Saroj,Rout (2010). Real Time Wireless Sensor Network for Coastal Erosion using Fuzzy Inference System.
  2. E Mamdani,S Assilian (1999). An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller.
  3. Tomohiro Takagi,Michio Sugeno (1985). Fuzzy identification of systems and its applications to modeling and control.
  4. M Sugeno,G Kong (1986). Fuzzy Modeling and Control of Multilayer Incinerator.
  5. Tommaso Flaminio,Enrico Marchioni (2006). T-norm-based logics with an independent involutive negation.
  6. P Venkata Subba,Reddy (2014). Generalization of fuzzy sets type-2, fuzzy quantifiers sets and α-cut fuzzy sets fuzzy temporal sets, fuzzy granular sets and fuzzy rough sets for incomplete information.
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  8. P Venkata Subba,Reddy (2013). Generalized fuzzy logic for incomplete information.
  9. Chi-Hsu Wang,Chih-Cheng Wang (2014). Finding the Real Surge Boundaries of Turbo-charged Automobiles Using Intelligent Fuzzy Reasoning Technique.
  10. L Zadeh (1975). CALCULUS OF FUZZY RESTRICTIONS.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Poli Venkata Subba Reddy. 2021. \u201cFuzzy Conditional Inference and Application to Wireless Sensor Network\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 20 (GJCST Volume 20 Issue E4): .

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Issue Cover
GJCST Volume 20 Issue E4
Pg. 13- 17
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-E Classification: C.2.1
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v1.2

Issue date

January 13, 2021

Language
en
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Zadeh, Mamdani, and TSK were proposed different fuzzy conditional inference for “if … then … “to approximate incomplete information. The Zadeh and Mamdani fuzzy conditional inferences require prior information for the consequent part. The TSK fuzzy conditional inference need not to know prior information for the consequent part, but it is difficult to compute. In this paper, new method is proposed for the position containing “if … then …” when prior information is not know the consequent part. Fuzzy Wireless Sensor Networks are discussed an application for proposed fuzzy conditional inference. Fuzzy inference system (FIS) is also discussed for WSN to detect Coastal erosion and Turbo Charger fuzzy controls System an examples.

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Fuzzy Conditional Inference and Application to Wireless Sensor Network

Poli Venkata Subba Reddy
Poli Venkata Subba Reddy Sri Venkateswara University

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