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- Dan A. Ralescu

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
33
Citations
10,018
124
World Ranking
2121
National Ranking
907

- Statistics
- Mathematical analysis
- Random variable

His scientific interests lie mostly in Fuzzy number, Discrete mathematics, Fuzzy set, Fuzzy mathematics and Fuzzy logic. His Fuzzy number study integrates concerns from other disciplines, such as Fuzzy set operations and Fuzzy classification. His Discrete mathematics study typically links adjacent topics like Convergence of random variables.

The various areas that Dan A. Ralescu examines in his Fuzzy mathematics study include Function, Vagueness, Fuzzy Control Language and Applied mathematics. As a part of the same scientific study, he usually deals with the Function, concentrating on Generalization and frequently concerns with Hausdorff distance. His Fuzzy logic research is multidisciplinary, relying on both Statistics and Algebra.

- Fuzzy Random Variables (1645 citations)
- Differentials of fuzzy functions (784 citations)
- Applications of Fuzzy Sets to Systems Analysis (561 citations)

The scientist’s investigation covers issues in Fuzzy logic, Fuzzy number, Mathematical optimization, Discrete mathematics and Fuzzy set. Dan A. Ralescu works mostly in the field of Fuzzy logic, limiting it down to concerns involving Algorithm and, occasionally, Multiple-criteria decision analysis. Dan A. Ralescu has included themes like Fuzzy set operations and Fuzzy classification in his Fuzzy number study.

His specific area of interest is Fuzzy set operations, where Dan A. Ralescu studies Fuzzy mathematics. His study in the field of Uncertainty theory also crosses realms of Distribution function. His studies deal with areas such as Generalization, Convergence of random variables and Algebra as well as Discrete mathematics.

- Fuzzy logic (28.57%)
- Fuzzy number (26.98%)
- Mathematical optimization (23.02%)

- Mathematical optimization (23.02%)
- Randomness (7.94%)
- Computational intelligence (4.76%)

His primary scientific interests are in Mathematical optimization, Randomness, Computational intelligence, Fuzzy logic and Expected value. His work in the fields of Mathematical optimization, such as Uncertainty theory, intersects with other areas such as Order and Perspective. His study on Randomness also encompasses disciplines like

- Stochastic simulation most often made with reference to Random variable,
- Risk analysis most often made with reference to Series.

Dan A. Ralescu interconnects Discrete mathematics and Combinatorics in the investigation of issues within Computational intelligence. His Fuzzy logic study which covers Multiple-criteria decision analysis that intersects with Orienteering. His study in Fuzzy set operations, Fuzzy classification, Defuzzification, Fuzzy number and Fuzzy transportation is carried out as part of his Artificial intelligence studies.

- Valuation of interest rate ceiling and floor in uncertain financial market (27 citations)
- Value-at-risk in uncertain random risk analysis (23 citations)
- Fuzzy bilevel programming with multiple non-cooperative followers: model, algorithm and application (16 citations)

- Statistics
- Mathematical analysis
- Random variable

His primary areas of investigation include Mathematical optimization, Multivariate random variable, Randomness, Computational intelligence and Algebra of random variables. His Mathematical optimization research integrates issues from Decision problem and Joint entropy. His study looks at the relationship between Randomness and topics such as Random variable, which overlap with Series, Uncertainty theory, Value at risk and Risk analysis.

His Computational intelligence research includes elements of Maximum flow problem, Expected value and Discrete mathematics. His research on Algebra of random variables is centered around Convergence of random variables, Statistics and Independent and identically distributed random variables. The study incorporates disciplines such as Stochastic simulation, Mixture distribution, Random function and Random variate in addition to Convergence of random variables.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Fuzzy Random Variables

Madan L Puri;Dan A Ralescu.

Journal of Mathematical Analysis and Applications **(1986)**

2439 Citations

Fuzzy Random Variables

Madan L Puri;Dan A Ralescu.

Journal of Mathematical Analysis and Applications **(1986)**

2439 Citations

Applications of Fuzzy Sets to Systems Analysis

C. V. Negoita;D. A. Ralescu;Siegfried Gottwald.

**(1976)**

1555 Citations

Applications of Fuzzy Sets to Systems Analysis

C. V. Negoita;D. A. Ralescu;Siegfried Gottwald.

**(1976)**

1555 Citations

Differentials of fuzzy functions

Madan L. Puri;Dan A. Ralescu.

Journal of Mathematical Analysis and Applications **(1983)**

1411 Citations

Differentials of fuzzy functions

Madan L. Puri;Dan A. Ralescu.

Journal of Mathematical Analysis and Applications **(1983)**

1411 Citations

The fuzzy integral

Dan Ralescu;Gregory Adams.

Journal of Mathematical Analysis and Applications **(1980)**

569 Citations

The fuzzy integral

Dan Ralescu;Gregory Adams.

Journal of Mathematical Analysis and Applications **(1980)**

569 Citations

Limit Theorems for Fuzzy Random Variables

E. P. Klement;M. L. Puri;D. A. Ralescu.

Proceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences **(1986)**

409 Citations

Limit Theorems for Fuzzy Random Variables

E. P. Klement;M. L. Puri;D. A. Ralescu.

Proceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences **(1986)**

409 Citations

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