Academic Origin
Prof. Dr. Ömer Faruk Rençber
Gaziantep University — Faculty of Economics and Administrative Sciences — Department of Business Administration
Quantitative Decision Methods · Multi-Criteria Decision Making · Business Statistics · Data Analytics
DecisionMind was developed by Prof. Dr. Ömer Faruk Rençber as part of an ongoing research program at Gaziantep University. With expertise in quantitative decision methods and multi-criteria decision making, the platform bridges the gap between theoretical MCDM research and practical decision support, making decades of academic work accessible through modern software engineering.
Our Mission
DecisionMind was born from a simple observation: multi-criteria decision making (MCDM) methods are powerful, but locked behind academic jargon and complex implementations.
We built a platform that gives researchers, analysts, and business leaders access to 100+ scientifically validated methods — without writing a single line of code.
The Story
Started as an academic research project, DecisionMind grew into a full platform after we realized that decision science needed better tooling.
Today, the platform supports classical, fuzzy, neutrosophic, grey, interval, and stochastic methods — covering every major MCDM paradigm in the literature.
By the Numbers
MCDM Methods
Data Formats
Method Families
Recommendation Layers
Our Values
Scientific Rigor
Each method follows its published algorithm, and every run shows its verification status transparently. Results are reproducible and fully auditable.
Transparency
No black boxes. Every step — normalization, weighting, ranking — is visible and exportable.
Accessibility
Complex mathematics, simple interface. Upload your data, declare your intent, receive your decision.
Privacy First
Your decision data belongs to you. Row-level security, encrypted storage, no third-party data sharing.
Built For
Academic researchers defending thesis methodology
Business analysts making data-driven decisions
Consultants delivering reproducible recommendations
Students learning MCDM concepts hands-on