About Us

Scientific Metrics (the maker of Tetra) offers the only software for evaluation, measurement and decision making that is based on sound mathematical foundations. We also provide consulting services and training in the use of this software.

Our products and services are based on more than twenty years of research into the mathematical foundations of the Analytic Hierarchy Process, utility theory, decision theory, measurement theory, and related fields. A sample of related research publications can be found on our Publications page.

Scientific Metrics was founded in 2002 by Jonathan Barzilai and is located in Halifax, Nova Scotia, Canada.

Jonathan Barzilai, President and CEO, holds B.Sc., M.Sc. and D.Sc. degrees in Applied Mathematics from the Technion, Israel Institute of Technology. His research interests include measurement theory, decision theory and analysis, and numerical optimization. He has held positions at the University of Texas at Austin (Mathematics), York University (Business), Dalhousie University (Business), the Technical University of Nova Scotia (Computer Science) and currently Dalhousie University (Industrial Engineering). Dr. Barzilai has published major papers on measurement and decision theory and has developed a methodology, Preference Function Modelling (PFM), for measurement, evaluation, and decision making by a single decision maker or a group.

Tetra is a software implementation of PFM. The development of Tetra has been led by Dan Barzilai, V.P. Software Development, who holds the degree of B.Comp.Sc. from the Technical University of Nova Scotia (which has merged with Dalhousie University in 1997).



NEW: On Neural Network Training Algorithms

Spectrum and Optimization Algorithms

Supply and Demand Equilibrium and Debreu’s Theory of Value

Economic Theory’s Curves

Demand, Barter, and Exchange

The Foundations

Decision Theory

Utility Theory


Download Tetra

Tetra Quickstart Guide

Tetra Online Documentation


Numerical Mathematics


An Elementary Demand Theory Error

Ordinal Utility and Indifference Curves

Von Neumann's Error

Game Theory: Whose Values?