What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Botany
- Ecology
Muhammad Akram mainly investigates Fuzzy logic, Fuzzy number, Discrete mathematics, Theoretical computer science and Fuzzy set operations.
His research on Fuzzy logic focuses in particular on Fuzzy set.
Muhammad Akram works mostly in the field of Fuzzy set, limiting it down to topics relating to Rough set and, in certain cases, Soft computing and Soft set, as a part of the same area of interest.
His work deals with themes such as Intuitionistic fuzzy and Fuzzy graph, which intersect with Discrete mathematics.
In his research on the topic of Theoretical computer science, Optimization problem and Telecommunications network is strongly related with Neuro-fuzzy.
He has included themes like Defuzzification and Fuzzy classification in his Fuzzy set operations study.
His most cited work include:
- Bipolar fuzzy graphs (226 citations)
- Intuitionistic fuzzy hypergraphs with applications (126 citations)
- Strong Intuitionistic Fuzzy Graphs (124 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Fuzzy logic, Discrete mathematics, Theoretical computer science, Fuzzy set and Fuzzy number.
His Fuzzy logic study which covers Mathematical optimization that intersects with TOPSIS.
He has researched Discrete mathematics in several fields, including Intuitionistic fuzzy, Fuzzy graph and Combinatorics.
His studies in Fuzzy number integrate themes in fields like Fuzzy set operations and Fuzzy classification.
His study brings together the fields of Defuzzification and Fuzzy set operations.
His Artificial intelligence study frequently involves adjacent topics like Machine learning.
He most often published in these fields:
- Fuzzy logic (28.70%)
- Discrete mathematics (16.67%)
- Theoretical computer science (12.75%)
What were the highlights of his more recent work (between 2019-2021)?
- Fuzzy logic (28.70%)
- Fuzzy set (11.74%)
- Theoretical computer science (12.75%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Fuzzy logic, Fuzzy set, Theoretical computer science, Pythagorean theorem and Discrete mathematics.
Specifically, his work in Fuzzy logic is concerned with the study of Fuzzy number.
His research integrates issues of Soft set and Structure in his study of Theoretical computer science.
His study on Discrete mathematics is mostly dedicated to connecting different topics, such as Fuzzy graph.
His studies deal with areas such as Ranking and Group decision-making as well as Mathematical optimization.
His Computational intelligence research includes elements of Intuitionistic fuzzy and Generalization.
Between 2019 and 2021, his most popular works were:
- Multi-criteria group decision making based on ELECTRE I method in Pythagorean fuzzy information (61 citations)
- Assessment of arsenic exposure by drinking well water and associated carcinogenic risk in peri-urban areas of Vehari, Pakistan (26 citations)
- Decision-Making Approach under Pythagorean Fuzzy Yager Weighted Operators (25 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Botany
- Ecology
His primary scientific interests are in Fuzzy logic, Fuzzy set, Pythagorean theorem, Computational intelligence and Theoretical computer science.
His research in the fields of Fuzzy number overlaps with other disciplines such as Operator.
His Fuzzy set study incorporates themes from Multiple-criteria decision analysis, Graph and Extension.
His Pythagorean theorem research incorporates elements of Discrete mathematics, Matroid, Pythagorean fuzzy sets, Aggregate and Vagueness.
His research investigates the connection between Computational intelligence and topics such as Generalization that intersect with issues in Complex plane, Position, Quadratic equation and Complex number.
His work carried out in the field of Theoretical computer science brings together such families of science as Fuzzy graph, Structure, Intersection, Mathematical model and Fuzzy model.
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