Logistic informatics modelling using concept of stratification (CST)

Abstract

The concept of stratification (CST) is a reform in problem solving approaches in computer science introduced and developed by Lotfi Zadeh [1]. In this approach, the target set is a set of the initial states. The environment around the target is then systematically identified and strata around the target are gradually built using the concept of ‘incremental target enlargement’. We advocate that this approach is useful in different areas; however, it is essential to highlight the potential applicability of the approach by presenting different examples. In this paper illustrative examples in Information Dominance (ID) and in requirement elicitation in contracting, are structured using CST. These examples show the application of the concept in the contexts of logistic informatics and contracting and assists the modelling process. Of particular relevance are Example 4 and 5. Example 4 exposes situations that are not dealt with in the current form of CST. The study, therefore, extends CST by considering the possibility of occasional state repetition while using the same input. Further, a 3D version of CST is structured and examined through example 5. This proposed version of the concept illustrates how the Fuzzy Inference System (FIS) benefits the user when applying CST.