TRIZ-based green energy project evaluation using innovation life cycle and fuzzy modelling

Abstract

This study evaluates theory of the solution of inventive problems (TRIZ)-based green energy project network based on innovation life cycle. In this context, TRIZ-based combinations are obtained by integer patterns for green energy projects. In the next phase, activity priorities of TRIZ-based principles are measured for green energy projects with Pythagorean fuzzy (PF) technique for order preference by similarity to ideal solution (TOPSIS). Finally, project evaluation review technique (PERT) and PF decision making trial and evaluation laboratory (DEMATEL) approaches are taken into consideration to score the green energy projects based on innovation life cycle using inventive problem-solving principles. TRIZ-based principles are also ranked by using Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Additionally, all calculations have also been made with Spherical fuzzy (SF) sets in addition to the PF sets. It is concluded that the analysis results are quite reliable. The main contribution of this study is that innovative strategies are identified for green energy investment projects with a novel methodology. The findings indicate that dynamicity and transformation of properties play a crucial role in this process. Therefore, green energy investors should closely follow technological developments in this area and the products used in green energy investments should be easily adapted to these developments. Additionally, the principal of prior action should be considered to reduce the costs instead of periodic action. It is obvious that the necessary controls should be made before the project starts to increase the efficiency and productivity.