Fuzzy set theoretic approach to fault tree analysis

Fuzzy Set Theoretic Approach to Image Thresholding

Thresholding is a fast, popular and computationally inexpensive segmentation technique that is always critical and decisive in some image processing applications. The result of image thresholding is not always satisfactory because of the presence of noise and vagueness and ambiguity among the classes. Since the theory of fuzzy sets is a generalization of the classical set theory, it has greater...

Fuzzy Set Theoretic Approach To Collocation Extraction

Fuzzy approach deals with the linguistic properties of elements such as beauty, coldness, hotness etc. Collocations are linguistically motivated. Decision of word combination for being collocation is a linguistic term as merely co-occurrence of word combinations does not signify the presence of collocation. Thus collocation extraction can be made possible by looking its linguistic aspect. In th...

Fuzzy fault tree analysis: revisited

This talk will review two case studies that examine the effectiveness of using Fuzzy Top Event Probability (FTEP) over the conventional approach. Case study one relates to flash vessel in an ammonia tank, while in case study two ,using fuzzy set theory, the FTEP has been estimated for the existing ammonia storage tank in a large fertilizer complex located in Mumbai, India. In addition, a new fo...

Subcutaneous Glucose Biosensor Failure – a Fuzzy Fault Tree Analysis Approach

Diabetes mellitus is a disease of major global importance, increasing in frequency at almost epidemic rates. In order to optimize diabetes management and, therefore, reduce hyperor hypo-glycaemia complications, continuous and reliable in vivo (subcutaneous or intravenous) glucose monitoring is indispensable. To that end, subcutaneous sensors have progressed more rapidly as they can be linked to...

Uncertainty in fault tree analysis: A fuzzy approach