LTL Similarity and Classification using Fuzzy Rules for Evaluating Environment Sustainability Business Process Indicator

Abstract

The development of the business world grows rapidly, notably in the retail business. The sustainable business model of retail enterprises is a continuous cycle that illustrates the value creation for all stakeholders so they can last longer. Sustainable business model is divided into; long, medium and short level sustainability. Company sustainability can be determined by several standards or indicators. These indicators were known as sustainability indicator which include environmental indicator. Nevertheless, the existing way to measure these indicators is based on the expert. This research aims to determine the sustainability level automatically by way of the combination of similarity processes with fuzzy. The combination calculated the similarity of 9 environmental business processes with benchmarks that used the Tree Declarative Pattern Edit Distance (TPED) method and the Cosine-Tree Declarative Pattern (Cosine-TPD). TPED method was used for the structural similarities and the Cosine-TPD was used for the behavioral similarities. Furthermore, the score of the similarity results calculated by the Fuzzy Rule-Based Classification to get the classification of the retail enterprises which based on the level of sustainability. The results confirmed that the classification of environmental business processes used to evaluate.