Table-Driven-Tables-Processing for DSS beyond spread sheet
Takayuki Toyama, Keiichi Endoh · Journal of Decision System · 1996
Modeling of complex phenomenon simply with visibility, keeping their reality, is a foundation of collaborated decision systems like business planning, profit planning, etc. Those models are composed of extremely long causal relations, but fortunately major part of logic are occupied by rather simple logic elements like four arithmetic operations and table manipulations. Traditional approaches by spread sheets or simulation languages cannot support their complexities if scales of models exceed certain ranges. Ultimate solution having visibility and quick response for changes are to organize all the logic and data in tables. We perceived robust characteristics of Structured Matrix that can simultaneously handle both holonic+clustered relations. Here is essence of our 19 years' efforts, which is full of suggestions for future paradigm: Logic Base System.