in this paper the real-world occurrence of the multiple-product multiple-constraint single period newsboy problem with two objectives, in which there is incremental discounts on the purchasing prices, is investigated. the constraints are the warehouse capacity and the batch forms of the order placements. the first objective of this problem is to find the order quantities such that the expected ...

Abstract In this paper we have investigated a fuzzy linear programming problem with fuzzy quantities which are LR triangular fuzzy numbers. The given linear programming problem is rearranged according to the satisfactory level of constraints using breaking point method. By considering the constraints, the arranged problem has been investigated for all optimal solutions connected with satisf...

This paper describes how cognitive methods, such as Fuzzy Controllers, Arti cial Neural Networks, and Genetic Algorithms can be integrated together to produce a family of Hybrid Intelligent Controllers, which provide good performance in a variety of complex, real-time and non-linear problems. Two new paradigms are introduced, namely Weighted Radial Basis Functions and Hierarchical Hybrid Fuzzy ...

in this paper, we consider rna structures with arc-length 4 . first, we represent thesestructures as matrix models and zero-one linearprogramming problems. then, we obtain anoptimal solution for this problemusing an implicit enumeration method. the optimal solutioncorresponds toan rna structure with the maximum number of hydrogen bonds.

Recently, fuzzy linear programming problems have been considered by many. In the literature of fuzzy linear programming several models are offered and therefore some various methods have been suggested to solve these problems. One of the most important of these problems that recently has been considered; are Fully Fuzzy Linear Programming (FFLP), which all coefficients and variables of the prob...

Traditional Data Envelopment Analysis (DEA) models evaluate the efficiency of decision making units (DMUs) with common crisp input and output data. However, the data in real applications are often imprecise or ambiguous. This paper transforms fuzzy fractional DEA model constructed using fuzzy arithmetic, into the conventional crisp model. This transformation is performed considering the goal pr...

In this paper, motivated by the ideas of dependent weighted aggregation operators, we develop some new hesitant fuzzy dependent weighted aggregation operators to aggregate the input arguments taking the form of hesitant fuzzy numbers rather than exact numbers, or intervals. In fact, we propose three hesitant fuzzy dependent weighted averaging(HFDWA) operators, and three hesitant fuzzy dependent...

Traditionally fuzzy controllers have been acquired directly from experts in the field, however recently people have relied upon various learning strategies that automatically acquire such controllers from example data and background knowledge. Here we present a new approach to representing and acquiring controllers based upon Cartesian granule features – multidimensional features formed over th...

the problem of hypothesis testing with a nuisance parameter is considered. two methods forusing fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. these methods areneither a pure classical nor a pure bayesian approach to hypothesis testing, but rather related to both. afew known examples and their applications, which cannot be studied by the parametric statisticalmethod...

Statistical distribution of chemical fingerprints p. 11 Fuzzy transforms and their applications to image compression p. 19 Development of neuro-fuzzy system for image mining p. 32 Reinforcement distribution in continuous state action space fuzzy Q-learning : a novel approach p. 40 A possibilistic approach to combinatorial optimization problems on fuzzy-valued matroids p. 46 Possibilistic planni...