The Method for Solving Single-goal Ill-defined Problems Based on Extenics

Currently, the amount of both information and knowledge is growing rapidly, and many problems faced by enterprises, organizations and individuals are characterized by non-linearity, high uncertainty and dynamism. Problems with relatively definite goals and domains and uncertain or insufficient boundary conditions leading to unclear problem expression and difficult goal achievement are called ill-defined problems. In this research, based on the method of constructing the extension model and solving the contradictory problem in Extenics, the method of constructing the initial extension model of the ill-defined problems and the method of solving the single-goal ill-defined problems are proposed by using the extensible analysis method and the extension transformation method. Finally, the feasibility of the method is demonstrated by a case study. Since this study applies a combination of formal and quantitative methods, it also lays the foundation for the intelligent solution of single-goal ill-defined problems and the study of multi-goal ill-defined problems.