F
Florentin Smarandache
Researcher at University of New Mexico
Publications - 1964
Citations - 31054
Florentin Smarandache is an academic researcher from University of New Mexico. The author has contributed to research in topics: Fuzzy logic & Fuzzy set. The author has an hindex of 69, co-authored 1897 publications receiving 27563 citations. Previous affiliations of Florentin Smarandache include International Islamic University, Islamabad & Mohammed V University.
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N-Algebraic Structures and S-N-Algebraic Structures
TL;DR: In this article, the authors introduced the concept of N-groups, N-semigroups, Nloops, and N-groupoids, which find applications in fields like finite automaton, coloring problems and coding theory.
Posted Content
A Novel Skin Lesion Detection Approach Using Neutrosophic Clustering and Adaptive Region Growing in Dermoscopy Images
TL;DR: The results establish that the proposed approach has the ability to detect a lesion with high accuracy, 95.3% average value, compared to the obtained average accuracy, 80.6%, found when employing the neutrosophic similarity score and level set (NSSLS) segmentation approach.
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Energy and Spectrum Analysis of Interval Valued Neutrosophic Graph using MATLAB
TL;DR: The current paper proposed some related mathematical notations to compute the spectrum and energy of interval-valued neutrosophic graph using the MATAB.
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Neutrosophic Optimization Model and Computational Algorithm for Optimal Shale Gas Water Management under Uncertainty
TL;DR: A multiobjective optimization framework is presented for an overall water management system that includes the allocation of freshwater for hydraulic fracturing and optimal management of the resulting wastewater with different techniques, and the neutrosophic goal programming approach is suggested.
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Some Interval Neutrosophic Dombi Power Bonferroni Mean Operators and Their Application in Multi─Attribute Decision─Making
TL;DR: A multi-attribute decision-making (MADM) method is developed, based on these proposed aggregation operators, to deal with interval neutrosophic (IN) information and the developed aggregation operators are very practical for solving MADM problems.