different methods have been proposed for finding the non-negative solution of fully fuzzy linear system (ffls) i.e. fuzzy linear system with fuzzy coefficients involving fuzzy variables. to the best of our knowledge, there is no method in the literature for finding the non-negative solution of a ffls without any restriction on the coefficient matrix. in this paper a new computational method is ...

then the ideal (F1, ..., FN) they generate in the Paley-Wiener algebra Ê ′(Rn) is slowly decreasing respect to the Paley-Wiener weight p(z) = log |z| + |Im z|. As a consequence, this ideal is closed in Ê ′(Rn). It coincides with the ideal [I(F1, ..., FN)]loc, which consists of elements in Ê ′(Rn) that belong locally to the ideal generated by F1, ..., FN in the algebra of entire functions in n v...

Using Multi-Criteria Decision-Making (MCDM) to solve complicated decisions often includes uncertainty, which could be tackled by utilizing the fuzzy sets theory. Type-2 fuzzy sets consider more uncertainty than type-1 fuzzy sets. These fuzzy sets provide more degrees of freedom to illustrate the uncertainty and fuzziness in real-world production projects. In this paper, a new multi-criteria ana...

Interruption is occurred by partial participation of workflows with adding new activity to a worker. A concerned worker to the interrupted workflow must restructure task assignment to improve consumed operating time by interruption. An opportunity of decision making is occurred to the workers to select appropriate tasks. However, preassignment of tasks to workers includes an expectation of supe...

The main objective of the present study was to prioritize the allocation of water resources of Chahnimeh reservoirs from economic, social, and environmental perspectives in 2015-2016 season using fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity of an ideal solution (FTOPSIS) as the branches of fuzzy multiple-criteria decision-making (MCDM) models. D...

This paper presents a comparative study of the performance of three versions of Adaptive Neuro-Fuzzy Inference System (ANFIS) hybrid model and two innovative hybrid models in the prediction of oil and gas reservoir properties. ANFIS is a hybrid learning algorithm that combines the rule-based inferencing of fuzzy logic and the back-propagation learning procedure of Artificial Neural Networks. Fu...

According to the characteristics of emergencies, a dynamic multi-objective emergency decisionmaking model is proposed. By introducing triangular fuzzy Numbers calculate correlation distance between selected solution, ideal solution and negative considering degree solutions, indexes highlighted. In addition, paper strengthens processing uncertain information in real world through comprehensive i...

The Finagle point (Wuffle et al., 1989), the yolk (McKelvey, 1986; Ferejohn et al., 1984) and the epsilon-core (Wooders, 1983; Salant and Goodstein, 1990; Tovey, 2010; Feld and Grofman, 1991) are three solution concepts that have been proposed to predict the outcome of majority voting in the Euclidean spatial model. Relationships among these three concepts are investigated in (Bra̋uninger, 2007)...

The aim of this paper is to investigate the multiple attribute decision making problems to deal with the supplier selection in supply chain management with interval-valued intuitionistic fuzzy information. Based on the traditional project method, calculation steps for solving interval-valued intuitionistic fuzzy multiple attribute decision-making problems with known weight information are given...