ABSTRACT
This chapter focuses on shifts from multiple attribute decision making (MADM) to multiple objective decision making (MODM). MODM originates from multiobjective programming (MOP), a branch of mathematical programming that has been used to deal with various optimization problems. The chapter aims to introduce the essential ideas of MODM and three types of MOP models with changeable parameters to help decision makers (DMs) achieve the desired point, which opens a new window for DMs to pursue continuous improvements. The three MOP models are increasing budgets, improving objective coefficients and enhancing production efficiency. The extended ideas of De Novo programming, proposed by H. C. Yu and colleagues, introduced the concept of changeable space for a typical production resource allocation problem. De Novo programming can be regarded as an approach to the optimization of resource allocation problems. The essential idea of De Novo programming inspired the subsequent new concept/approach of changeable spaces for enhancing a given system.
