The STP model for solving imprecise problems
Jingtao Yao, Weining Liu · 2006
Abstract — Researchers have been attracted for years to studies on solving imprecise problems. The first step for solving an imprecise problem is to clarify the problem itself. However, in many of cases, the impreciseness of a problem is due to its own nature and often leaves them unsolvable. There are at least two reasons for the impreciseness and unclearness of a problem. The first reason is that there may not be a suitable language to present the problem in an understandable and clear way. The second reason is that the problem itself is not well-definable. This is quite similar to a research question that a researcher is trying to specify. A problem may only be fully understood and specified after all solutions are available. In this paper, we introduce a problem solving approach by searching possible solutions to an imprecise problem. This is an approach to specify and solve an imprecise problem by matching the problem with its solutions. We present a Solution-To-Problem (STP) model as a new approach for imprecise problem solving. Basic notions, measures and algorithms for such a problem solving process are studied. I.