Titlebook: Concepts of Soft Computing; Fuzzy and ANN with P Snehashish Chakraverty,Deepti Moyi Sahoo,Nisha Ran Textbook 2019 Springer Nature Singapore

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书目名称Concepts of Soft Computing影响因子(影响力)




书目名称Concepts of Soft Computing影响因子(影响力)学科排名




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书目名称Concepts of Soft Computing被引频次学科排名




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书目名称Concepts of Soft Computing年度引用学科排名




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书目名称Concepts of Soft Computing读者反馈学科排名

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rocesses..The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases.978-981-13-7430-2

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Interval System of Linear Equationsfor handling uncertain parameters or values having infimum and supremum. In Chap. 1, the notion of interval matrix has been introduced and as such, this chapter deals with application of interval matrices for solving interval system of linear equations (ISLEs). Further, the chapter includes certain

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: The Intermediate Value Theorem,terval eigenvalue problems. Chapter 8 dealt with solving interval system of linear equations using interval analysis and in this chapter, we have focused on solving eigenvalue problems having interval parameters.

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Landlocked

Convergence in Topological Spaces,eliminaries related to fuzzy sets, its membership function, and operaions of fuzzy sets have been discussed here. Further, C and/or MATLAB programming codes have been included for computational verification.

Ablation

A Topological View of Sheaf Cohomology,sical real numbers and its arithmetic. There exist different types of fuzzy numbers, but for the sake of completeness of the chapter, triangular, trapezoidal, and Gaussian fuzzy numbers based on the membership functions have only been included here. Further, the conversions of these fuzzy numbers to

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recede

https://doi.org/10.1007/978-3-319-16958-3his book. Due to the involvement of such uncertainties, the parameters considered in real-world problems may be expressed as fuzzy sets instead of crisp sets. The methodology of transformation of a crisp set to appropriate fuzzy set is referred as .. On the other hand, defuzzification may be conside