Fuzzy models are present everywhere from natural to artificial structures, embodying the dynamic processes in physical, biological, and social systems. As real-life problems often uncertain on account of inconsistent indeterminate information, it seems very demanding for an expert solve those using a fuzzy model. In this regard, we develop hybrid new model m-polar Diophantine neutrosophic N-sof...

Airlines are the business of transporting passengers in which the safety and risk have always been important. We use the fuzzy CAPM and fuzzy ICAPM models to investigate the underwriting systematic risk and profit margin of aviation transportation, in which the parameters of membership function are the asymmetric triangular fuzzy number. We calculate the underwriting systematic risk and profit ...

We show in a two-period world with endogenous savings and two assets, one of them exhibiting a stochastic return that an interest adjusted income tax is optimal. This tax leaves a safe component of interest income tax free and taxes the excess return with a special tax rate. There is no trade off between risk allocation and efficiency in intertemporal consumption. Both goals are reached. As the...

Abstract In this paper, a comprehensive review and critical analyses of methods based on the ordinary fuzzy set, Atanassov’s intuitionistic its extensions have been conducted to show their limitations defects. Then, novel similarity measure generalized score function has introduced that incorporates significance (importance) information, making it more intuitive compare them. The proposed metho...

We consider a sovereign wealth fund that invests broadly in the international financial markets. The influx to has stopped. adopt life cycle model and demonstrate optimal spending rate from is significantly less than fund’s expected real of return. secures will last ”forever”. Spending return deplete with probability one. Moreover, this strategy inconsistent portfolio choice. Our results are co...

Today, one of the most fundamental issues within the field of industrial and nonindustrial activities is evaluate the costs performance of the units which are associated with industrial and nonindustrial activities. Data envelopment analysis (DEA) is a nonparametric method for evaluating performance. Fuzzy sets theory is a powerful tool for mentioning ambiguous situations. Traditional DEA model...

Abstract: In this paper, we introduce Interval valued q- Rung Orthopair Hesitant fuzzy sets (IVq-ROHFS) with motivation of pythagorean [44] as a new concept. Then, give some basic operations complement, union, intersection, addition, scalar multiplication, power. Also, combine to and choquet integral , together aggregating operators, develop rung orthopair hesitant Choquet averaging operator (I...