Breast cancer is the most common cause of death in women and the second leading cause of cancer deaths worldwide. Primary prevention in the early stages of the disease becomes complex as the causes remain almost unknown. However, some typical signatures of this disease, such as lumps and microcalcifications appearing on mammograms, can be used to improve early diagnostic techniques, which is critical for womens quality of life. X-ray mammography is the main test used for screening and early diagnosis, and its analysis and processing are the keys to improving breast cancer prognosis. In this paper, we have presented a novel approach to identify the presence of breast cancer lumps in mammograms. The proposed algorithm for selecting initial cluster centers on the basis of minimal spanning tree (MST) is presented. MST initialization method for the intuitionistic fuzzy c-means clustering algorithm for clear to identify of abnormalities for mammography images and Breast cancer patients symptoms used to predictive probability calculated by Pearson Chi-Square (χ 2 ) test at 0.05 significance level indicate a highly significant correlation between mammography performance and clinical symptoms of breast cancer. Our findings suggest that mammography is highly efficient and promising technique.

The Fuzzy Logic (FL) is a variant of soft computing which its versatile it widens its applications to all domain. This article focuses on its application in agriculture. The scope of this logic is not limited to few areas of agriculture. It is extended from the soil analysis to complete plant production, all the areas are comprised by the usage of FL. The short wider literature survey is carried out to understand the FL in agriculture.

Wider usage of aluminium alloy composites can be seen in several sectors like automobile, aerospace and marine application. Current article clearly explains the property enhancement of aluminium alloy composites reinforced with natural materials and is compared with synthetic as well as hybrid reinforcements. AA2219 is taken as a base metal and BC, WC, Al2O3, MOS2, Graphite, Sea shell powder (SSP) are taken as reinforcing agents. Stir casting technique is adopted to fabricate a test specimen since it is flexible and easy to cast among remaining casting methods in metal matrix composite. Above mentioned reinforcements are taken with a weight percentage of 1, 2 and 3. For property enhancement evaluation, hardness test is carried out. It is observed from the evaluation, natural reinforcement result in better enhancement than the synthetic reinforcements.