DECISION SCIENCE & MCDM

AI Generates Ideas.
Humans Make Decisions.

AI is powerful for brainstorming and automating routine tasks, but making final trade-off choices is a human responsibility. Decision Mentor brings mathematical rigor to your judgment.

“Understanding comes from comparison, as there are no absolute measures.”

— Dr. Thomas L. Saaty (1926–2017), Creator of AHP & ANP
Decision Mentor Multi-Criteria Visualization
Multi-Criteria Decision Analysis (MCDM)

Why AHP is the World Standard for Complex Choices

Developed at the Wharton School of Business, the Analytic Hierarchy Process converts subjective judgments into objective priority vectors with mathematical consistency checks.

1. Deconstruct Complexity

Break complex multi-million dollar goals into manageable criteria and sub-criteria hierarchies.

2. Pairwise Mathematics

Compare criteria two at a time using Saaty's 1–9 fundamental ratio scale to determine exact priority weights.

3. Consistency Verification

Ensure logical consistency with real-time Consistency Ratio checks ($CR < 0.10$), yielding defensible decisions.

SCIENTIFIC PROOF & ACADEMIC RECOGNITION

Published & Mentioned in Top Scientific Journals

Decision Mentor is backed by rigorous peer-reviewed Multi-Criteria Decision Analysis (AHP/ANP) and has been featured in leading textbooks, international symposiums, and scientific journals.

Springer Cham (2026)
Routledge - Taylor & Francis (2025)
MDPI Applied Sciences (2025)
UNESCO HQ Paris (2023)
ISAHP Symposiums (2020-2024)
MCDM Society Spotlight (2021)
Springer2026

Applying DPSIR and AHP to Healthy City Planning: Insights from Stradella Case Study (Italy)

Pietra, C.

In: De Lotto, R., Venco, E., Pietra, C. (eds) Innovation in Urban and Regional Planning. INPUT 2025. Lecture Notes in Civil Engineering, vol 826. Springer, Cham.

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MDPI2025

The Development of an OpenAI-Based Solution for Decision-Making

Manolache, S.; Popescu, N.

Applied Sciences, 15(6), 3408.

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Routledge2025

AI-Powered Decision Support Mobile Application for Individuals: An Evaluation of Publicly Shared Decisions with "Decision Mentor"

Bhattarai, S. & Poudel, S.

In (Eds.) Ujwary-Gil, A. & Florek-Paszkowska, A., AI, Analytics and Strategic Decision Making (1st ed., pp 111-130). Routledge.

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Explore All 20+ Scientific Publications & Citations
Unified Decision Engine

Three Flexible Decision Frameworks in One Engine

Whether evaluating personal career choices or multi-million dollar vendor proposals, Decision Mentor structures your options with mathematical precision.

1. Scorecard & Rubrics

Score proposals, candidates, or suppliers against weighted criteria standards and domain rubrics.

Customizable 1–100 absolute rating scales
Auto-calculate aggregate weighted scores

2. Side-by-Side Compare

Compare options side-by-side with pairwise trade-off matrices and Saaty's 1–9 ratio scales.

Real-time Consistency Ratio ($CR < 0.10$) validation
Visual trade-off comparison charts

3. AI Decision Mentor

Type your decision goal in natural language and let AI construct criteria hierarchies and rating scales.

Instant prompt-to-model hierarchy generation
Calibrated with your preference persona
Mobile Companion App

Make Confident Choices Anywhere, Anytime

Download Decision Mentor on your iOS or Android smartphone to structure life choices, talk with AI decision mentors, and sync your decisions across mobile and web.

Decision Categories Word Cloud
📱 Mobile & Web Synced Decision Engine

Public Community Decisions

Explore how others evaluate real-world choices and trade-offs.

View All →

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