Cengiz Kahraman

About

Cengiz Kahraman is a prolific researcher whose work sits at the dynamic intersection of fuzzy set theory and intelligent decision-making systems. With a career spanning over two decades, he has established himself as a leading authority in fuzzy multi-criteria decision analysis, contributing foundational methodologies that have reshaped how researchers evaluate complex industrial systems. His early work on fuzzy multi-criteria evaluation of industrial robotic systems, which has accumulated over 219 citations, laid important groundwork for applying fuzzy logic to real-world engineering selection problems. Kahraman's most transformative contributions lie in the development and application of spherical fuzzy sets — sophisticated three-dimensional extensions of classical fuzzy frameworks that allow experts to express uncertainty with greater nuance and precision. His 2019 papers introducing spherical fuzzy extensions of WASPAS and AHP, together attracting nearly 400 citations, have become essential references in the decision science community. He has also pioneered applications of advanced fuzzy sets — including Pythagorean and neutrosophic variants — to robotics, humanoid systems, and aviation intelligence. His sustained output, from theoretical extensions to applied evaluations of robotic technologies, reflects both methodological creativity and practical impact, making his work invaluable to students and researchers navigating uncertainty in engineering and decision sciences.

Research Focus

Key Achievements

Top Papers

1. 1
   Fuzzy multi-criteria evaluation of industrial robotic systems

   219 citations · 2007
2. 2
   Extension of WASPAS with Spherical Fuzzy Sets

   188 citations · 2019
3. 3
   A novel spherical fuzzy QFD method and its application to the linear delta robot technology development

   138 citations · 2019
4. 4
   Spherical Fuzzy Analytic Hierarchy Process (AHP) and Its Application to Industrial Robot Selection

   71 citations · 2019
5. 5
   Fuzzy controlled humanoid robots: A literature review

   54 citations · 2020
6. 6
   Fuzzy Multi-Criteria Evaluation of Industrial Robotic Systems Using Topsis

   13 citations · 2008
7. 7
   Modeling humanoid robots facial expressions using Pythagorean fuzzy sets

   6 citations · 2020
8. 8
   Humanoid Robots and Fuzzy Sets

   3 citations · 2021
9. 9
   Intelligent Systems in Aviation 4.0 Industry

   2 citations · 2021
10. 10
    Fuzzy Sets and Extensions: A Literature Review

    2 citations · 2021

Key Collaborators

Contact & Links