The US Preventive Services Task Force (USPSTF) makes recommendations about preventive care services for patients without recognized signs or symptoms of the target condition. Recommendations are based on a systematic review of the evidence of the benefits and harms and an assessment of the net benefit of the service. The USPSTF recognizes that clinical or policy decisions involve more considera...

Recommender systems are web based systems that aim at predicting a customer's interest on available products and services by relying on previously rated products and dealing with the problem of information and product overload. Collaborative filtering is the most popular recommendation technique nowadays and it mainly employs the user item rating data set. Traditional collaborative filtering ap...

Resilience concepts now underpin the global strategic approach to risk mitigation. However, operational challenges have emerged which stem from problems with measurement. Many key drivers of social resilience are intangible and difficult measure, can result in their exclusion consideration institutional decisionmaking structures. Drawing upon a case study – Hurunui district recently experienced...

A novel method of "predicting" sitter case attribute value is presented in this paper. The method allows users to choose two attributes, seed and target attribute, and to predict the target attribute value of the forthcoming sitter case. The method first retrieves string sequences of the seed attribute according to filters the users set. Then, it finds the words in the sequences and calculates ...

The interval neutrosophic set (INS) can be easier to express the incomplete, indeterminate and inconsistent information, and TOPSIS is one of the most commonly used and effective method for multiple attribute decision making, however, in general, it can only process the attribute values with crisp numbers. In this paper, we have extended TOPSIS to INS, and with respect to the multiple attribute...