000 | 05159cam a2200589Ia 4500 | ||
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001 | on1264470096 | ||
003 | OCoLC | ||
005 | 20220711203716.0 | ||
006 | m o d | ||
007 | cr un|---aucuu | ||
008 | 210821s2021 mau ob 001 0 eng d | ||
040 |
_aEBLCP _beng _cEBLCP _dYDX _dDG1 _dOCLCO _dOCLCF _dGZN _dUKAHL |
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019 | _a1264458895 | ||
020 |
_a9781119763437 _q(electronic bk. : oBook) |
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020 |
_a1119763436 _q(electronic bk. : oBook) |
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020 | _a9781119763413 | ||
020 | _a111976341X | ||
020 | _z1119760453 | ||
020 | _z9781119760450 | ||
024 | 7 |
_a10.1002/9781119763437 _2doi |
|
029 | 1 |
_aAU@ _b000069952172 |
|
035 |
_a(OCoLC)1264470096 _z(OCoLC)1264458895 |
||
050 | 4 | _aQA402 | |
082 | 0 | 4 |
_a006.3/3 _223 |
049 | _aMAIN | ||
245 | 0 | 0 |
_aFuzzy intelligent systems : _bmethodologies, techniques, and applications / _cedited by E. Chandrasekaran [and more]. |
260 |
_aBeverly, MA : _bScrivener Publishing ; _aHoboken, NJ : _bWiley, _c2021. |
||
300 | _a1 online resource (431 p.). | ||
490 | 1 | _aArtificial Intelligence and Soft Computing for Industrial Transformation Ser. | |
505 | 0 | _aIntro -- Title Page -- Copyright -- Preface -- 1 Fuzzy Fractals in Cervical Cancer -- 1.1 Introduction -- 1.2 Methods -- 1.3 Maximum Modulus Theorem -- 1.4 Results -- 1.5 Conclusion -- References -- 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network -- 2.1 Introduction -- 2.2 Related Works -- 2.3 Proposed Methodology -- 2.4 Experimental Results -- 2.5 Conclusions -- References -- 3 Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5-Part III -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Definition -- 3.4 Notations -- 3.5 Main Results -- 3.6 Conclusion | |
504 | _aReferences -- 4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm -- 4.1 Introduction -- 4.2 Multiple Criteria That is Used for Decision Making (MCDM) -- 4.3 Conclusion -- References -- 5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5 -- 5.1 Introduction -- 5.2 Main Result -- 5.3 Conclusion -- References -- 6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5 -- 6.1 Introduction -- 6.2 Main Result -- 6.3 Conclusion -- References -- 7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems. | ||
505 | 8 | _a7.1 Introduction -- 7.2 Existing Technology and its Review -- 7.3 Research Design -- 7.4 Findings or Result Discussion so for in the Area of GFS Hybridization -- 7.5 Conclusion -- References -- 8 Using Fuzzy Technique Management of Configuration and Status of VM for Task Distribution in Cloud System -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Logic System for Fuzzy -- 8.4 Proposed Algorithm -- 8.5 Results of Simulation -- 8.6 Conclusion -- References -- 9 Theorems on Fuzzy Soft Metric Spaces -- 9.1 Introduction -- 9.2 Preliminaries -- 9.3 FSMS -- 9.4 Main Results | |
505 | 8 | _a9.5 Fuzzy Soft -Contractive Type Mappings and -- Admissible Mappings -- References -- 10 Synchronization of Time-Delay Chaotic System with Uncertainties in Terms of Takagi-Sugeno Fuzzy System -- 10.1 Introduction -- 10.2 Statement of the Problem and Notions -- 10.3 Main Result -- 10.4 Numerical Illustration -- 10.5 Conclusion -- References -- 11 Trapezoidal Fuzzy Numbers (TrFN) and its Application in Solving Assignment Problem by Hungarian Method: A New Approach -- 11.1 Introduction -- 11.2 Preliminary -- 11.3 Theoretical Part -- 11.4 Application With Discussion -- 11.5 Conclusion and Further Work | |
504 | _aReferences -- 12 The Connectedness of Fuzzy Graph and the Resolving Number of Fuzzy Digraph -- 12.1 Introduction -- 12.2 Definitions -- 12.3 An Algorithm to Find the Super Resolving Matrix -- 12.4 An Application of the Connectedness of the Modified Fuzzy Graph in Rescuing Human Life From Fire Accident -- 12.5 Resolving Number Fuzzy Graph and Fuzzy Digraph -- 12.6 Conclusion -- References -- 13 A Note on Fuzzy Edge Magic Total Labeling Graphs -- 13.1 Introduction -- 13.2 Preliminaries -- 13.3 Theorem -- 13.4 Theorem -- 13.5 Theorem -- 13.6 Theorem -- 13.7 Theorem -- 13.8 Theorem -- 13.9 Theorem. | ||
500 | _a13.10 Application of Fuzzy Edge Magic Total Labeling. | ||
504 | _aIncludes bibliographical references and index. | ||
588 | 0 | _aOnline resource; title from PDF title page (John Wiley, viewed August 30, 2021). | |
590 | _bWiley Frontlist Obook All English 2021 | ||
650 | 0 |
_aFuzzy systems. _93413 |
|
650 | 7 |
_aFuzzy systems. _2fast _0(OCoLC)fst00936814 _93413 |
|
655 | 4 |
_aElectronic books. _93294 |
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700 | 1 |
_aChandrasekaran, E. _910157 |
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700 | 1 |
_aAnandan, R. _910158 |
|
700 | 1 |
_aSuseendran, G. _910159 |
|
700 | 1 |
_aBalamurugan, S. _q(Shanmugam), _d1985- _910137 |
|
700 | 1 |
_aHachimi, Hanaa. _910160 |
|
776 | 0 | 8 |
_iPrint version: _aChandrasekaran, E. _tFuzzy Intelligent Systems _dNewark : John Wiley & Sons, Incorporated,c2021 _z9781119760450 |
830 | 0 |
_aArtificial Intelligence and Soft Computing for Industrial Transformation. _910139 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781119763437 _zWiley Online Library |
942 | _cEBK | ||
994 |
_a92 _bDG1 |
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999 |
_c69618 _d69618 |