What is he best known for?
The fields of study he is best known for:
- Law
- Management
- Artificial intelligence
The scientist’s investigation covers issues in Multiple-criteria decision analysis, Management science, Data mining, Operations research and Process.
His study in Multiple-criteria decision analysis is interdisciplinary in nature, drawing from both Stability and Machine learning.
His Management science research includes elements of Sustainable development and Decision engineering, Decision support system, Business decision mapping, Decision analysis.
He combines subjects such as Ranking, TOPSIS, Grey relational analysis and Fuzzy logic with his study of Data mining.
His Operations research study combines topics from a wide range of disciplines, such as Multi-objective optimization and Normalization.
Within one scientific family, he focuses on topics pertaining to Selection under Process, and may sometimes address concerns connected to Project manager, Process management and Project management.
His most cited work include:
- Multiple criteria decision making (MCDM) methods in economics: an overview (451 citations)
- Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara) (359 citations)
- State of art surveys of overviews on MCDM/MADM methods (350 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Multiple-criteria decision analysis, Operations research, Management science, Process and Selection.
His Multiple-criteria decision analysis research is multidisciplinary, incorporating elements of Ranking, Analytic hierarchy process, Risk analysis and Fuzzy logic.
His studies link Data mining with Fuzzy logic.
His TOPSIS study in the realm of Operations research interacts with subjects such as Multi criteria.
His studies in Management science integrate themes in fields like Decision support system, Decision analysis and Sustainable development.
As part of his studies on Process, Zenonas Turskis often connects relevant subjects like Project management.
He most often published in these fields:
- Multiple-criteria decision analysis (34.76%)
- Operations research (31.55%)
- Management science (20.32%)
What were the highlights of his more recent work (between 2018-2021)?
- Multiple-criteria decision analysis (34.76%)
- Operations research (31.55%)
- Risk analysis (8.56%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Multiple-criteria decision analysis, Operations research, Risk analysis, Fuzzy logic and Reliability.
Zenonas Turskis combines subjects such as Ranking, Process and Measure with his study of Multiple-criteria decision analysis.
His Operations research study incorporates themes from Sustainable transport, Pedestrian, Decision support system and Construction management.
His Risk analysis research includes themes of Analytic hierarchy process, Delphi method and Sustainable development.
His work deals with themes such as Quality, Critical infrastructure and Risk assessment, which intersect with Fuzzy logic.
His Reliability research is multidisciplinary, incorporating perspectives in Vagueness, Pairwise comparison, Selection and Personnel selection.
Between 2018 and 2021, his most popular works were:
- A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems (59 citations)
- A Fuzzy WASPAS-Based Approach to Determine Critical Information Infrastructures of EU Sustainable Development (29 citations)
- A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management (26 citations)
In his most recent research, the most cited papers focused on:
- Law
- Management
- Artificial intelligence
Zenonas Turskis mainly investigates Multiple-criteria decision analysis, Analytic hierarchy process, Construction management, Fuzzy logic and Risk analysis.
His Multiple-criteria decision analysis research incorporates themes from Supply chain, Ranking and Process.
The concepts of his Analytic hierarchy process study are interwoven with issues in Multi criteria decision, Sustainable construction, Engineering management and User requirements document.
His research in Construction management tackles topics such as Operations research which are related to areas like Linear programming.
In Fuzzy logic, Zenonas Turskis works on issues like Delphi method, which are connected to Risk management, Process management and Human resources.
Zenonas Turskis interconnects Technological change, Reliability, National security and Sustainable development in the investigation of issues within Risk analysis.
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