What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
The scientist’s investigation covers issues in Analytic hierarchy process, Operations research, Ranking, Data mining and Management science.
Alessio Ishizaka interconnects Class, Matrix, Selection and Decision analysis in the investigation of issues within Analytic hierarchy process.
His work on Analytic network process as part of general Operations research research is frequently linked to The Internet, thereby connecting diverse disciplines of science.
His study looks at the relationship between Ranking and topics such as Mathematical optimization, which overlap with Multiplicative function and Decision problem.
In his study, which falls under the umbrella issue of Data mining, Transitive relation, Prolog and If and only if is strongly linked to Pairwise comparison.
As a part of the same scientific study, Alessio Ishizaka usually deals with the Management science, concentrating on Business decision mapping and frequently concerns with Multiple-criteria decision analysis, Cost–benefit analysis and Decision quality.
His most cited work include:
- Review of the main developments in the analytic hierarchy process (599 citations)
- Multi-criteria Decision Analysis: Methods and Software (414 citations)
- Analytic Hierarchy Process and Expert Choice: Benefits and limitations (334 citations)
What are the main themes of his work throughout his whole career to date?
Alessio Ishizaka mostly deals with Analytic hierarchy process, Operations research, Ranking, Multiple-criteria decision analysis and Data mining.
His studies in Analytic hierarchy process integrate themes in fields like Management science, Sorting, Pairwise comparison, Decision analysis and Decision problem.
Alessio Ishizaka frequently studies issues relating to Analytic network process and Management science.
The concepts of his Operations research study are interwoven with issues in Decision support system and Selection.
His Ranking study incorporates themes from Test, Quality, Mathematical optimization and Preference.
The study incorporates disciplines such as Matching, Matrix and Information retrieval in addition to Data mining.
He most often published in these fields:
- Analytic hierarchy process (38.62%)
- Operations research (24.83%)
- Ranking (21.38%)
What were the highlights of his more recent work (between 2019-2021)?
- Operations research (24.83%)
- Analytic hierarchy process (38.62%)
- Ranking (21.38%)
In recent papers he was focusing on the following fields of study:
Alessio Ishizaka spends much of his time researching Operations research, Analytic hierarchy process, Ranking, Multiple-criteria decision analysis and Sustainability.
He integrates many fields, such as Operations research and Relocation, in his works.
His Analytic hierarchy process research is multidisciplinary, incorporating elements of Decision problem, Data mining and Management science.
His research investigates the connection with Management science and areas like Multicriteria decision which intersect with concerns in TOPSIS.
His Ranking research is multidisciplinary, relying on both Logistic regression, Feasible region and Urban planning.
His studies deal with areas such as Sorting, Talent management, Fuzzy logic and Decision analysis as well as Multiple-criteria decision analysis.
Between 2019 and 2021, his most popular works were:
- The application of multi-criteria decision analysis methods into talent identification process: A social psychological perspective (9 citations)
- Analytic hierarchy process-fuzzy sorting: An analytic hierarchy process–based method for fuzzy classification in sorting problems (8 citations)
- Measuring well-being by a multidimensional spatial model in OECD Better Life Index framework (8 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
His primary areas of study are Multiple-criteria decision analysis, Analytic hierarchy process, Fuzzy logic, Legitimacy and Social media.
Many of his studies on Multiple-criteria decision analysis apply to Knowledge management as well.
Alessio Ishizaka performs multidisciplinary study in the fields of Analytic hierarchy process and Field via his papers.
His Fuzzy logic study combines topics in areas such as Decision analysis and Standard deviation.
Combining a variety of fields, including Legitimacy, Marketing, Political communication, Fake news, Misinformation and Phenomenon, are what the author presents in his essays.
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