What is she best known for?
The fields of study she is best known for:
- Marketing
- Artificial intelligence
- Operations management
Gülçin Büyüközkan mainly investigates Fuzzy logic, Operations research, Analytic hierarchy process, Analytic network process and Quality.
Her study in Fuzzy logic is interdisciplinary in nature, drawing from both New product development, Decision support system, Management science and Decision model.
Her Operations research research incorporates elements of Data mining, Supplier evaluation, Process and Software development.
Her Analytic hierarchy process research is multidisciplinary, incorporating perspectives in Ranking, TOPSIS, Multiple-criteria decision analysis and Process management.
Her Analytic network process research is multidisciplinary, relying on both Vagueness, House of Quality and Risk analysis.
Her Quality research includes themes of Fuzzy number and Customer satisfaction.
Her most cited work include:
- A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers (592 citations)
- A fuzzy optimization model for QFD planning process using analytic network approach (479 citations)
- A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information (338 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Multiple-criteria decision analysis, Fuzzy logic, Operations research, Analytic hierarchy process and Process.
Her work carried out in the field of Multiple-criteria decision analysis brings together such families of science as Context, TOPSIS, Choquet integral and Selection.
Her Fuzzy logic study integrates concerns from other disciplines, such as New product development, Risk analysis, Management science and Axiomatic design.
Gülçin Büyüközkan works mostly in the field of Operations research, limiting it down to topics relating to Decision support system and, in certain cases, Case-based reasoning.
Gülçin Büyüközkan has included themes like Quality and Ranking in her Analytic hierarchy process study.
Her work in Process tackles topics such as Knowledge management which are related to areas like Collaborative product development.
She most often published in these fields:
- Multiple-criteria decision analysis (28.00%)
- Fuzzy logic (28.00%)
- Operations research (26.50%)
What were the highlights of her more recent work (between 2018-2021)?
- Multiple-criteria decision analysis (28.00%)
- Analytic hierarchy process (24.00%)
- Process (22.50%)
In recent papers she was focusing on the following fields of study:
Multiple-criteria decision analysis, Analytic hierarchy process, Process, Operations research and Risk analysis are her primary areas of study.
Gülçin Büyüközkan combines subjects such as Context, Management science, Fuzzy logic, Quality function deployment and Big data with her study of Multiple-criteria decision analysis.
She interconnects Structure and Intelligent transportation system in the investigation of issues within Analytic hierarchy process.
Her research in Process intersects with topics in Competitive advantage and Selection.
Her Operations research study integrates concerns from other disciplines, such as Dimension, Intuitionistic fuzzy, Order and Selection.
Gülçin Büyüközkan regularly ties together related areas like Supply chain in her Risk analysis studies.
Between 2018 and 2021, her most popular works were:
- A new group decision making approach with IF AHP and IF VIKOR for selecting hazardous waste carriers (26 citations)
- Smart medical device selection based on intuitionistic fuzzy Choquet integral (12 citations)
- A Novel Approach Integrating AHP and COPRAS Under Pythagorean Fuzzy Sets for Digital Supply Chain Partner Selection (10 citations)
In her most recent research, the most cited papers focused on:
- Marketing
- Artificial intelligence
- Machine learning
Gülçin Büyüközkan spends much of her time researching Multiple-criteria decision analysis, Analytic hierarchy process, Process, Digital transformation and Fuzzy logic.
She studied Multiple-criteria decision analysis and Management science that intersect with Communication channel and Axiomatic design.
Her work in Analytic hierarchy process covers topics such as Selection which are related to areas like TRIPS architecture and Process management.
The study incorporates disciplines such as Supply chain, Competitive advantage and Risk analysis in addition to Process.
Her studies deal with areas such as Context and Business model as well as Fuzzy logic.
Her work in the fields of Operations research, such as TOPSIS, intersects with other areas such as Sensitivity.
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