In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possibilistic linear programming (MOPLP) technique is developed to account for all tangible, intangible, quantitative, and qualitative factors which are used to evaluate and select suppliers and to define the optimum order quantities assigned to each. A multi-objective linear programming technique is fir...

Possibilistic Defeasible Logic Programming (P-DeLP) is a logic programming language which combines features from argumentation theory and logic programming, incorporating as well the treatment of possibilistic uncertainty and fuzzy knowledge at object-language level. Defeasible argumentation in general and P-DeLP in particular provide a way of modelling non-monotonic inference. When modelling i...

In recent years, concerns regarding issues such as climate change, greenhouse gas emissions, fossil reserve dependency, and petroleum price fluctuation have led countries to focus on renewable energies. Meanwhile, in developing countries, designing an appropriate biofuel supply chain network environmental competencies is important problem. This paper presents a new bi-objective mixed integer ma...

The knowledge about available resources during highlevel synthesis is usually imprecise. Previous methods seem to have ignored this fact, possibly to avoid an increase in the, already high, computational complexity. In this paper an approach based on so called “‘possibilistic” programming, a kind of fuzzy mathematical programming, is presented. Using this method we can improve existing mathemcl...

We show that possibilistic quadratic programs with crisp decision variables and continuous fuzzy number coefficients are well-posed, i.e. small changes in the membership function of the coefficients may cause only a small deviation in the possibility distribution of the objective function.

In recent decades, the forest industry has been growingly expanded due to economic conditions, climate changes, environmental and energy policies, intense demand changes. Thus, appropriate planning is required improve this industry. To achieve economic, social goals, a supply chain network designed based on multi-period multi-product Mixed-Integer Non-Linear Programming (MINLP) model in which o...