2019
DOI: 10.1007/978-981-13-7430-2
|View full text |Cite
|
Sign up to set email alerts
|

Concepts of Soft Computing

Abstract: of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specif… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 69 publications
(11 citation statements)
references
References 3 publications
0
4
0
Order By: Relevance
“…Defuzzification is the opposite technique to fuzzification, which is the process of obtaining a converted exact value from the fuzzy set derived by inference and considered as the output [63]. In this study, defuzzification will map the fuzzy subset (D k1 , E ik , F dk ) of the system and the appropriate membership degree to provide the PID parameter results in a single value.…”
Section: Defuzzificationmentioning
confidence: 99%
“…Defuzzification is the opposite technique to fuzzification, which is the process of obtaining a converted exact value from the fuzzy set derived by inference and considered as the output [63]. In this study, defuzzification will map the fuzzy subset (D k1 , E ik , F dk ) of the system and the appropriate membership degree to provide the PID parameter results in a single value.…”
Section: Defuzzificationmentioning
confidence: 99%
“…One example of FNN algorithms is a single layer perception (SLP), the simplest form of FNN without any hidden layers. [ 152 ] In this algorithm, the inputs are multiplied by the weights and then accumulated to acquire a sum of the weighted inputs. If the sum of the weighted inputs is above a specific threshold, the output is 1 while if it is below the threshold, then the output is 0.…”
Section: For Soft Acoustic/vibration Sensorsmentioning
confidence: 99%
“…Step 4: Finally, fuzzy GRA coefficient in terms of the safety index for CT operators was averaged and defuzzified by Chakraverty et al, 2019;Liu et al, 2020). The result is presented in the last row of Sheet 3 of the Supplementary Materials.…”
Section: Author Contributionsmentioning
confidence: 99%