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        1 - Evaluation of marketing resources for hotels in the world's second-largest religious metropolis during the COVID-19 pandemic
        Milad Khajiyan Sheini Pour Mohammad Hemati
        The negative impact of the COVID-19 pandemic on the survival and income of many businesses, especially those active in the hospitality industry, is very evident. The tourism industry has been severely affected by this crisis. Religious tourism has also faced a major cri More
        The negative impact of the COVID-19 pandemic on the survival and income of many businesses, especially those active in the hospitality industry, is very evident. The tourism industry has been severely affected by this crisis. Religious tourism has also faced a major crisis due to the closure of many hotels in the world's religious cities. Therefore, in such a situation, it is necessary to pay attention to the factors that lead to the creation of competitive advantage and hotels survival. One of the most important of these factors is marketing resources. Marketing resources improve business performance by creating competitive advantage. The purpose of this study is to rank marketing resources for hotels in the world's second-largest religious metropolis (Mashhad in Iran) during the COVID-19 pandemic. five attractive marketing resources were selected for this purpose. To determine the weight of marketing resources and rank them, the fuzzy analytic hierarchy process (FAHP) and the fuzzy analytic network process (FANP) techniques have been used. According to the obtained results, market innovation capabilities have the first priority among other resources during the COVID-19 pandemic. This finding indicates the great importance of innovation capabilities and the provision of unique new services by hotels during the COVID-19 era. The results of this study can be considered to improve the performance of hotels in the religious city of Mashhad during the COVID-19 pandemic and similar crises. Manuscript profile
      • Open Access Article

        2 - Using Multi-objective Algorithm (NSGA-II) in Selecting Optimal Portfolio in Tehran Stock Exchange
        سید احمد شیبت الحمدی محمد همتی مهدی اسفندیار
        In financial matters, portfolio can be interpreted as a combination or a series of investments hold by an institution or a person. Portfolio optimization is one of the most important concerns of investors for maximizing the portfolio in financial markets. The formation More
        In financial matters, portfolio can be interpreted as a combination or a series of investments hold by an institution or a person. Portfolio optimization is one of the most important concerns of investors for maximizing the portfolio in financial markets. The formation of portfolio is a vital and critical decision for the companies. In fact, the selection of portfolio is to specify the capital between different shares. So, selecting a portfolio by high returns rate and controlled risk is a matter noted by many researchers. The present ways of optimization the portfolio have not sufficient adequacy. Therefore, so many innovative algorithms are considered and used. Genetic algorithm can solve many optimization problems of portfolio efficiently. The aim of this research is to completely explain genetic algorithm when using it to optimize portfolio matters. The researcher tries to develop an approach based on a multi-objective algorithm known as NSGA-II to form a portfolio. 30 superior companies listed in Tehran stock Exchange are selected as the population and their data are used during 2007-2011. The results indicate that genetic algorithm designed is an efficient and appropriate means to help the investors to select a portfolio Manuscript profile