What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
His primary scientific interests are in Artificial intelligence, Fuzzy logic, Fuzzy set, Fuzzy classification and Fuzzy set operations.
His studies deal with areas such as Machine learning, Group decision-making and Natural language processing as well as Artificial intelligence.
In his papers, Janusz Kacprzyk integrates diverse fields, such as Fuzzy logic and Degree.
His Fuzzy set research integrates issues from Discrete mathematics, Similarity, Measure and Theoretical computer science.
His research investigates the connection between Fuzzy classification and topics such as Neuro-fuzzy that intersect with issues in Fuzzy clustering.
His Fuzzy set operations research includes elements of Defuzzification, Mathematical optimization and Membership function.
His most cited work include:
- Computing with Words in Information/Intelligent Systems 1 (286 citations)
- Discussion: Terminological difficulties in fuzzy set theory---The case of “Intuitionistic Fuzzy Sets” (264 citations)
- A consensus-reaching process under intuitionistic fuzzy preference relations (222 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Fuzzy logic, Artificial intelligence, Fuzzy set, Fuzzy set operations and Natural language processing.
Janusz Kacprzyk has researched Fuzzy logic in several fields, including Mathematical optimization, Information retrieval and Group decision-making.
His work in Information retrieval addresses issues such as Data mining, which are connected to fields such as Theoretical computer science.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Series.
His biological study spans a wide range of topics, including Discrete mathematics, Defuzzification, Neuro-fuzzy and Fuzzy classification.
The study incorporates disciplines such as Type-2 fuzzy sets and systems and Membership function in addition to Defuzzification.
He most often published in these fields:
- Fuzzy logic (44.37%)
- Artificial intelligence (42.79%)
- Fuzzy set (16.22%)
What were the highlights of his more recent work (between 2015-2021)?
- Fuzzy logic (44.37%)
- Artificial intelligence (42.79%)
- Intuitionistic fuzzy (11.49%)
In recent papers he was focusing on the following fields of study:
Janusz Kacprzyk mainly focuses on Fuzzy logic, Artificial intelligence, Intuitionistic fuzzy, Mathematical optimization and Fuzzy set.
His study on Fuzzy logic is covered under Linguistics.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Natural language processing.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Fuzzy number, Fuzzy transportation and Fuzzy transportation problem.
His study in Fuzzy set operations and Type-2 fuzzy sets and systems is done as part of Fuzzy set.
The Fuzzy set operations study combines topics in areas such as Defuzzification, Neuro-fuzzy, Adaptive neuro fuzzy inference system and Membership function.
Between 2015 and 2021, his most popular works were:
- Bonferroni means with distance measures and the adequacy coefficient in entrepreneurial group theory (51 citations)
- Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture (49 citations)
- Logarithmic aggregation operators and distance measures (33 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
His main research concerns Fuzzy logic, Artificial intelligence, Fuzzy set operations, Intuitionistic fuzzy and Discrete mathematics.
His Fuzzy logic study is concerned with Linguistics in general.
Many of his research projects under Artificial intelligence are closely connected to Uniform consensus with Uniform consensus, tying the diverse disciplines of science together.
His Fuzzy set operations research is multidisciplinary, relying on both Fuzzy number, Defuzzification, Neuro-fuzzy, Fuzzy classification and Adaptive neuro fuzzy inference system.
His Fuzzy classification research is classified as research in Fuzzy set.
His research on Intuitionistic fuzzy also deals with topics like
- Interval valued, which have a strong connection to Value,
- Algebra which connect with Decision support system.
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