Generalised single valued neutrosophic number and its application to neutrosophic linear programming

In this paper, the concept of single valued neutrosophic number (SV N-number) is presented in a generalized way. Using this notion, a crisp linear programming problem (LP-problem) is extended to a neutrosophic linear programming problem (NLP-problem). The coefficients of the objective function of a crisp LP-problem are considered as generalized single valued neutrosophic number (GSV N -number). This modified form of LP-problem is here called an NLP-problem. An algorithm is developed to solve NLP-problem by simplex method. Finally, this simplex algorithm is applied to a real life problem. The problem is illustrated and solved numerically

MAIZE CROP STATUS IN MADURAI DISTRICTA STATISTICAL ANALYSIS

<p>The growth performance of Maize crop in Madurai district was studied using the time series<br>data from 1996-97 to 2011-12.The growth pattern was examined by fitting an exponential function<br>(Y=ABt ). The result showed that the growth rates of area were positive and highly significant in the<br>study period and with the average area of 2003.47 ha and also shows high variability. Similar results were<br>also obtained for production and yield as positive and highly significant for the study period. The average<br>Maize production and yield in Madurai District was found to be 6035.31 tonnes and 2483.58 kg/ha<br>respectively and also shows high variability during the study period</p> <p> </p