Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/96865
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dc.date.accessioned2016-06-13T10:24:00Z-
dc.date.available2016-06-13T10:24:00Z-
dc.identifier.urihttp://hdl.handle.net/10603/96865-
dc.description.abstractThis thesis intended to present the Soft Computing techniques and their applications in the field of optimization. Here this concern research focus on two well known Soft Computing techniques named as Fuzzy Logic System and Neural Fuzzy System and find their application in engineering optimization. newlineIt proposed three systems namely fuzzified employability assessment system, fuzzified scheduling and fuzzified ducting system. The employability is calculated with the help of three employability skills named as Education, Personal Development and Understanding Power in employability assessment system. These three skills take as input in fuzzy logic and calculate the employability as output. This thesis also suggests the design and implementation of fuzzy logic control based CPU scheduling and fuzzy logic based job shop scheduling. In the design of CPU scheduling it make use of suitable linguistic variables as input and calculate the output as crisp value for new priority. On the other hand the job shop scheduling deals with some fuzzy logic rules and these rules are based on each operation time of a job. It calculates a new value of execution with the help of operation time of each job for combination of two machines. newline
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dc.languageEnglish
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dc.rightsuniversity
dc.titleSoft computing theories and techniques their uses in solving computing and optimization problems
dc.title.alternative
dc.creator.researcherRajani Kumari
dc.subject.keywordFuzzy Logic
dc.subject.keywordJob Shop Scheduling
dc.subject.keywordNeural Networks
dc.subject.keywordSoft Computing
dc.description.note
dc.contributor.guideSharma, Vivek Kumar
dc.publisher.placeJaipur
dc.publisher.universityJagannath University
dc.publisher.institutionDepartment of Engineering and Technology
dc.date.registered29-5-2012
dc.date.completed08-07-2014
dc.date.awarded20-08-2015
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering and Technology

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01_title.pdfAttached File343.59 kBAdobe PDFView/Open
04_acknowledgments.pdf265.1 kBAdobe PDFView/Open
05_preface.pdf304.17 kBAdobe PDFView/Open
06_table of contents.pdf276.57 kBAdobe PDFView/Open
07_list of figures.pdf298.05 kBAdobe PDFView/Open
08_list of tables.pdf271.87 kBAdobe PDFView/Open
09_chapter 1.pdf810.01 kBAdobe PDFView/Open
10_chapter 2.pdf457.82 kBAdobe PDFView/Open
11_chapter 3.pdf914.63 kBAdobe PDFView/Open
12_chapter 4.pdf1.45 MBAdobe PDFView/Open
13_chapter 5.pdf942.68 kBAdobe PDFView/Open
14_chapter 6.pdf368.73 kBAdobe PDFView/Open
15_references.pdf523.72 kBAdobe PDFView/Open
16_list of publications.pdf288.09 kBAdobe PDFView/Open


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