http://ijorlu@gmail.com International Journal of Applied Operational Research - An Open Access Journal - Journal articles for year 2019, Volume 9, Number 3 Yektaweb Collection - https://yektaweb.com en 2019/8/10 http://ijaor.ir/browse.php?a_id=599&sid=1&slc_lang=en Theory of Pythagorean fuzzy sets possesses significant advantages in handling vagueness and complex uncertainty. Additionally, Pythagorean fuzzy information is useful to simulate the ambiguous nature of subjective judgments and measure the fuzziness and imprecision more flexibly. The aim of this research is to develop the concept of the Pythagorean fuzzy ideal of a near ring and discusses their desirable properties. Based on the ideas, this paper introduces a novel concept of homomorphism of pythagorean fuzzy ideals of near rings.  D. Darvishi Salokolaei http://ijaor.ir/browse.php?a_id=596&sid=1&slc_lang=en Optimum utilization of limited resources in the production floor demands that the production manager makes decisions on the best allocation of limited resources. Linear programming techniques are applied in this study to a production planning problem in a feed mill producing company. The linear Programming model was formulated based on data obtained from the company operations’ diary. Data was processed with the help of Management Scientist Version 5.0. The study reveals improved profit through streamlining of the product range and cutting off the less productive products. This suggests the company may adopt the outcome of the linear programming techniques in production planning to improve monthly profit. This study has shown that linear programming techniques are powerful tools that can be of help to managers in decision making and allocation of limited resources and indicate operations and profit improvement. O. Solaja http://ijaor.ir/browse.php?a_id=579&sid=1&slc_lang=en In this paper, the performance of [different] units of Water and Sewage Company in Isfahan Province was evaluated using Data Envelopment Analysis (DEA). The purpose of this study was to provide a clear picture of the relative performance of Decision-Making Units (DMUs) in 2018. The advantage of using the DEA model over parametric models is to measure the performance of units using specific weights. In this study, data were collected through desk studies, and then, analyzed using mathematical modeling (linear programming). MATLAB was used to analyze the data indicating that 11 out of 30 units were efficient and the rest were inefficient. H. Jafari http://ijaor.ir/browse.php?a_id=581&sid=1&slc_lang=en Nonparametric control charts are presented in order to figure out the problem of detecting changes in the process median (or mean)‎, ‎or changes in the variability process where there is limited knowledge regarding the underlying process‎. ‎When observations are reported imprecise‎, ‎then it is impossible to use classical nonparametric control charts‎. ‎This paper is devoted to the problem of constructing nonparametric control charts in presence of fuzzy data and parameters‎. ‎For this aim‎, ‎we propose two different methods‎:  ‎distance between fuzzy numbers and credibility measure for ranking fuzzy data‎, ‎that can be used to construct sign and Wilcoxon signed-rank control charts‎. ‎Then‎, ‎this statistical control charts are applied to monitor location and scale parameters of a continuous statistical process‎. ‎Finally‎, ‎proposed control charts application is evaluated with numerical examples. F. Momeni