D-Index & Metrics Best Publications

D-Index & Metrics

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
Computer Science D-index 37 Citations 8,220 68 World Ranking 5182 National Ranking 123

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Machine learning

Benedetto Matarazzo mainly investigates Rough set, Dominance-based rough set approach, Decision rule, Data mining and Multicriteria classification. His work in Rough set addresses issues such as Binary relation, which are connected to fields such as Transitive relation, Fuzzy set and Weighted product model. His Dominance-based rough set approach research is multidisciplinary, incorporating elements of Algorithm and Decision analysis.

Benedetto Matarazzo has included themes like Preference, Decision problem and Rule of inference in his Decision rule study. His research integrates issues of Generalization and Bayesian probability in his study of Data mining. His studies deal with areas such as Bankruptcy risk and Theoretical computer science as well as Multicriteria classification.

His most cited work include:

  • Rough sets theory for multicriteria decision analysis (1265 citations)
  • Rough approximation of a preference relation by dominance relations (411 citations)
  • Rough approximation by dominance relations (339 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Rough set, Dominance-based rough set approach, Decision rule, Artificial intelligence and Mathematical optimization. His Rough set study deals with the bigger picture of Data mining. His study on Dominance-based rough set approach also encompasses disciplines like

  • Theoretical computer science which intersects with area such as Binary relation,
  • Algorithm, which have a strong connection to Generalization.

His study in Decision rule is interdisciplinary in nature, drawing from both Decision tree, Optimal decision, Decision problem and Decision analysis. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Stochastic dominance. His Mathematical optimization study incorporates themes from Sorting and Choquet integral, Fuzzy logic.

He most often published in these fields:

  • Rough set (60.75%)
  • Dominance-based rough set approach (56.07%)
  • Decision rule (43.93%)

What were the highlights of his more recent work (between 2010-2021)?

  • Rough set (60.75%)
  • Dominance-based rough set approach (56.07%)
  • Decision rule (43.93%)

In recent papers he was focusing on the following fields of study:

Benedetto Matarazzo mostly deals with Rough set, Dominance-based rough set approach, Decision rule, Computational intelligence and Artificial intelligence. His work carried out in the field of Rough set brings together such families of science as Vagueness, Probabilistic logic and Lattice. His Decision rule research is multidisciplinary, incorporating elements of Decision analysis, Multi-objective optimization, Multiple-criteria decision analysis, Mathematical optimization and Decision model.

His Computational intelligence study also includes

  • Management science and related Multicriteria decision, Finance and Actuarial science,
  • Data science which connect with Financial engineering, Missing data, Financial risk and Knowledge extraction,
  • Operations research and related Transport engineering, Aggregate, Decision problem and Choquet integral. His work on Variety as part of general Artificial intelligence research is often related to Focus, thus linking different fields of science. He interconnects Preference, Preference learning, Preference relation, Pairwise comparison and Equivalence relation in the investigation of issues within Machine learning.

Between 2010 and 2021, his most popular works were:

  • The Choquet integral with respect to a level dependent capacity (66 citations)
  • jMAF - Dominance-Based Rough Set Data Analysis Framework (47 citations)
  • Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (44 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Machine learning

Benedetto Matarazzo mainly focuses on Decision rule, Rough set, Dominance-based rough set approach, Artificial intelligence and Multiple-criteria decision analysis. His Data mining research extends to the thematically linked field of Decision rule. His Rough set study integrates concerns from other disciplines, such as Consistency, Data analysis and Extension.

His work deals with themes such as Decision tree, Operations research and Decision analysis, which intersect with Dominance-based rough set approach. His Decision analysis research includes themes of Decision support system, Transport engineering and Decision problem. His Multiple-criteria decision analysis research integrates issues from Multi-objective optimization, Probabilistic logic and Sample.

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.

Best Publications

Rough sets theory for multicriteria decision analysis

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
European Journal of Operational Research (2001)

1929 Citations

Rough approximation of a preference relation by dominance relations

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
European Journal of Operational Research (1999)

631 Citations

Rough approximation by dominance relations

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
International Journal of Intelligent Systems (2002)

546 Citations

Rough sets methodology for sorting problems in presence of multiple attributes and criteria

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
European Journal of Operational Research (2002)

513 Citations

Fuzzy Similarity Relation as a Basis for Rough Approximations

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
Lecture Notes in Computer Science (1998)

366 Citations

The Use of Rough Sets and Fuzzy Sets in MCDM

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
Multicriteria Decision Making : Advances in MCDM Models, Algorithms, Theory, and Applications (1999)

305 Citations

A New Rough Set Approach to Evaluation of Bankruptcy Risk

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski.
(1998)

276 Citations

Decision Rule Approach

Salvatore Greco;Salvatore Greco;Benedetto Matarazzo;Roman Słowiński;Roman Słowiński.
(2005)

198 Citations

Variable Consistency Model of Dominance-Based Rough Sets Approach

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski;Jerzy Stefanowski.
Lecture Notes in Computer Science (2000)

196 Citations

An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle

Salvatore Greco;Benedetto Matarazzo;Roman Slowinski;Jerzy Stefanowski.
Lecture Notes in Computer Science (2000)

193 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Benedetto Matarazzo

Roman Słowiński

Roman Słowiński

Poznań University of Technology

Publications: 189

Salvatore Greco

Salvatore Greco

University of Portsmouth

Publications: 179

Gwo-Hshiung Tzeng

Gwo-Hshiung Tzeng

National Taipei University

Publications: 63

Yiyu Yao

Yiyu Yao

University of Regina

Publications: 42

Tianrui Li

Tianrui Li

Southwest Jiaotong University

Publications: 37

Hamido Fujita

Hamido Fujita

Association for Computing Machinery

Publications: 36

Masahiro Inuiguchi

Masahiro Inuiguchi

Osaka University

Publications: 36

Andrzej Skowron

Andrzej Skowron

University of Warsaw

Publications: 32

José Rui Figueira

José Rui Figueira

Instituto Superior Técnico

Publications: 29

Constantin Zopounidis

Constantin Zopounidis

Technical University of Crete

Publications: 28

Qinghua Hu

Qinghua Hu

Tianjin University

Publications: 26

Wei-Zhi Wu

Wei-Zhi Wu

Zhejiang Ocean University

Publications: 25

Jiye Liang

Jiye Liang

Shanxi University

Publications: 21

Duoqian Miao

Duoqian Miao

Tongji University

Publications: 21

Jerzy W. Grzymala-Busse

Jerzy W. Grzymala-Busse

University of Kansas

Publications: 21

Degang Chen

Degang Chen

North China Electric Power University

Publications: 20

Trending Scientists

Morten Huse

Morten Huse

BI Norwegian Business School

Ozan Erdinc

Ozan Erdinc

Yıldız Technical University

Ana Deletic

Ana Deletic

UNSW Sydney

Bo Albinsson

Bo Albinsson

Chalmers University of Technology

Irina V. Grigorieva

Irina V. Grigorieva

University of Manchester

Gunilla Ståhls

Gunilla Ståhls

American Museum of Natural History

Muriel T. Davisson

Muriel T. Davisson

University of California, Los Angeles

Hang Yin

Hang Yin

Tsinghua University

Martin Altwegg

Martin Altwegg

University of Zurich

Mariano Domingo

Mariano Domingo

Autonomous University of Barcelona

Peter R. Girguis

Peter R. Girguis

Harvard University

Takuro Nunoura

Takuro Nunoura

Japan Agency for Marine-Earth Science and Technology

Jon Currie

Jon Currie

Mental Health Research Institute

Isaac R. Galatzer-Levy

Isaac R. Galatzer-Levy

New York University

Robert J. Norman

Robert J. Norman

University of Adelaide

C. Nadine Wathen

C. Nadine Wathen

University of Western Ontario

Something went wrong. Please try again later.