to calculate partial and total productivity of production factors in broiler farms in yazd province, 72 manufacturing units were selected based on simple random sampling method and their information and statistics were collected for one production period in the second half of 2013. to measure productivity, the cobb-douglas production function was estimated using classic and fuzzy regression met...

A novel approach for solving fuzzy model-based stability problems via evolutionary computation (EC) is presented. Gain scheduling problem of a multi-model fuzzy system that satisfies the Lyapunov stability criteria is solved. The generalized eigenvalue problem (GEVP) can be directly introduced to EC in searching positive definite (PD) or positive semi-definite (PSD) matrices, by making a penalt...

Construction of effective and accurate classifier is one of the challenges facing by the researchers. Many experiments have shown that Associative Classifier is significantly more accurate than the traditional classifiers. To classify the quantitative data, Fuzzy Associative Classifier was introduced and is also proved as an effective prediction model. Mining of negative association rules have ...

Realistic mobility models can assess more the results more accurate estimate parameters because it is closer to the real world. In this paper a realistic Fuzzy Mobility Model has been proposed. This model has rules which are changeable depending on nodes and environmental conditions. This model is more complete and precise than the other mobility models. After simulation, it was found out that ...

This paper puts forward the idea that information encoded on a computer may have a negative or a positive emphasis. Negative information corresponds to the statement that some situations are impossible. It is often the case for pieces of background knowledge expressed in a logical format. Positive information corresponds to observed cases. It is often encountered in data-driven mathematical mod...

In this paper, a new soft computing group decision method based on the concept of compromise ratio is introduced for determining decision makers (DMs)' weights through the group decision process under uncertainty. In this method, preferences and judgments of the DMs or experts are expressed by linguistic terms for rating the industrial alternatives among selected criteria as well as the relativ...

In this paper, we propose the least-squares method for computing the positive solution of a $mtimes n$ fully fuzzy linear system (FFLS) of equations, where $m > n$, based on Kaffman's arithmetic operations on fuzzy numbers that introduced in [18]. First, we consider all elements of coefficient matrix are non-negative or non-positive. Also, we obtain 1-cut of the fuzzy number vector solution of ...

Applying the idea of soft set theory to lattice implication algebras, the novel concept of (implicative) filteristic soft lattice implication algebras which related to (implicative) filter(for short, (IF -)F -soft lattice implication algebras) are introduced. Basic properties of (IF -)F -soft lattice implication algebras are derived. Two kinds of fuzzy filters (i.e.(∈,∈ ∨qk)((∈,∈ ∨ qk))-fuzzy (...

In supply chain management, to build strategic and strong relationships, firms should select best suppliers by applying appropriate method and selection criteria. In this paper, to handle ambiguity and fuzziness in supplier selection problem effectively, a new weighted additive fuzzy programming approach is developed. Firstly, linguistic values expressed as trapezoidal fuzzy numbers are used to...

Logistics outsourcing has been at the top of the management agenda during recent decades. The selection of the proper service supplier is the key to success in logistic outsourcing Firms could select the right supplier by applying appropriate methods and selection criteria. In this paper a new framework is proposed on the basis of weighted additive fuzzy programming approach and linear programm...