The selection of the appropriate combination of materials for a manufacturing company is one of the important points to achieving high competitiveness in the market. Besides, an appropriate choice of materials is very important as it helps to reach optimum production rate and efficiency. Today's market offers many more choices for materials alternatives. There are also many factors one should consider as part of the appropriate combination of materials selection process, including productivity, wastage, cost, style, etc., consequently, evaluation procedures involve several objectives and it is often necessary to compromise among possibly conflicting tangible and intangible factors. For dealing with these problems, multiple criteria decision making (MCDM) has been found to be a useful approach to solve this kind of problem. Most of the MCDM models are basically mathematical and disregard qualitative and subjective considerations. The application of fuzzy set theory allows incorporating the vague and imprecise linguistic terms and qualitative information into the decision process. This paper devises a fuzzy hybrid analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) approach to the problem of thesis subject selection. Fuzzy AHP is used to formulate and calculate the weight of each criterion, and fuzzy TOPSIS is proposed to prioritize combination material alternatives from the best to the worst ones. A case study on Kaach Company was put forward to illustrate the performance of the proposed methodology.

As a growing industry in Iran, the insurance industry has dramatically grasped researchers’ and managers’ attention. Among the various issues in this industry, measuring and evaluating the efficiency and performance of its units and branches has always been considered by relevant experts because such evaluation can help us take adequate steps to improve this area. Through securitisation, insurance companies may mitigate the cost of their capital, increase the return on equity, and improve other metrics that affect their operating performance. Securitisation increases capital productivity in the insurance industry. Therefore, the present study was conducted in 2020 to review and develop a model of insurance securitisation in Iran. The present study is exploratory research. Thus, 13 experts and commentators in insurance securities were interviewed. Second, based on the theme analysis, the content of the interviews was analysed, and a proposed model was developed. Then, according to the obtained model, a questionnaire was designed and distributed among insurance industry experts. Two concepts of validity and reliability were used to validate the questionnaire. Based on the model, 10 main factors were identified as influencing insurance securitisation. Insurance securitisation, management of Iran’s environmental conditions, the role of the capital market in insurance, financing, economic development, optimal risk management, risk transfer process in insurance securitisation, investment culture, support of regulatory bodies and facilities in the securities issuance process, utilisation of technical knowledge and specialised human resources are the factors identified in the research. The results showed that all these factors identified from the interviews were confirmed, and the model was sufficiently valid.

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Increasing development of information and communication technology has had profound impacts on business processes and Internet as the most effective base for electronic marketing.