Flow shop sequencing problem is included in NP-hard problems and a number of heuristic methods have been developed to solve it. Most of these methods are offered for the crisp processing time. However fuzzy algorithm is appropriate for the problems with fuzzy processing time. This paper presents a method in which an algorithm is used to minimize make span of flow shop with fuzzy processing time...

Life insurance is an agreement between insured and insurer, where the insurer pays out a sum of money either on specific period or death insured. Now day, People can buy policy through online platform. There are lot companies available in market, each company has various policies. Selecting best for purchasing term plan very complex problem. may confuse to choose buying term. It multi-criteria ...

this paper talks about the measurement of efficiency and productivity of non-life insurance firms in india. this study is focused on twelve private non-life insurance firms and four public sector non-life insurance firms of india in the period 2008-09 to 2012-13. data envelopment analysis (dea) coupled with malmquist productivity index is used in measuring the efficiency as well as productivity...

Flow shop sequencing problem is included in NP-hard problems and a number of heuristic methods have been developed to solve it. Most of these methods are offered for the crisp processing time. However fuzzy algorithm is appropriate for the problems with fuzzy processing time. This paper presents a method in which an algorithm is used to minimize make span of flow shop with fuzzy processing time...

An end-to-end system was created at Genworth Financial to automate the underwriting of Long Term Care (LTC) and Life Insurance applications. Relying heavily on Artificial Intelligence techniques, the system has been in production since December 2002 and in 2004 completely automated the underwriting of 19% of the LTC applications. A fuzzy logic rules engine encodes the underwriter guidelines and...

A theory of fuzzy partitions is an important part of any theory meant to provide a formal framework for fuzzy mathematics. In [3], Henkin-style higher-order fuzzy logic is introduced and proposed as a foundational theory for fuzzy mathematics. Here we investigate the properties of fuzzy partitions within its formal framework. We follow closely the methodology of [2]. Therefore the notions intro...

We illustrate the typical life cycle of a fuzzy knowledge-based model, from its development, testing, optimization, and deployment, through the maintenance of its knowledge base. After a brief review of related work on a static problem, the underwriting of insurance applications, we focus on the design, implementation, and updating of a Fuzzy Instance-based Model (FIM) for prediction and classi...

In this paper, we present an agent-based system for distributed risk assessment of breast cancer development employing fuzzy and probabilistic computing. The proposed fuzzy multi agent system consists of multiple fuzzy agents that benefit from fuzzy set theory to demonstrate their soft information (linguistic information). Fuzzy risk assessment is quantified by two linguistic variables of high ...