Dynamic asset allocation strategies that are continuously rebalanced so as to always keep a fixed constant proportion of wealth invested in the various assets at each point in time play a fundamental role in the theory of optimal portfolio strategies. In this paper we study the rate of return on investment, defined here as the net gain in wealth divided by the cumulative investment, for such in...

The aim of this paper is to introduce the concept a generalized Pythagorean fuzzy soft set (GPFSS), which combination sets and sets. Several important operations GPFSS including complement, restricted union, extended intersection are discussed. basic properties presented. Further, an algorithm GPFSSs given solve decision-making. Finally, comparative analysis between approach some existing appro...

Pythagorean fuzzy sets (PyFSs) are an essential tool for characterizing data in decision-making processes. In contrast to normal structures, PyFSs feature a sum of squares membership grades that is near unit interval, which increases uncertainty. Within environment, we intend build unique operational rules and aggregation operators (AOs) this proposed work. The work presents; notions, rules, pr...

The data in this article was obtained from the algebraic and statistical analysis of the first 331 primitive Pythagorean triples. The ordered sample is a subset of the larger Pythagorean triples. A primitive Pythagorean triple consists of three integers a, b and c such that; [Formula: see text]. A primitive Pythagorean triple is one which the greatest common divisor (gcd), that is; [Formula: se...

In this paper, we discuss a multiperiod portfolio selection problem with fuzzy returns. We present a new credibilitic multiperiod mean semi- absolute deviation portfolio selection with some real factors including transaction costs, borrowing constraints, entropy constraints, threshold constraints and risk control. In the proposed model, we quantify the investment return and risk associated with...

This paper deals with a portfolio selection problem based on the possibility theory under the assumption that the returns of assets are LR-type fuzzy numbers. A possibilistic portfolio model with transaction costs is proposed, in which the possibilistic mean value of the return is termed measure of investment return, and the possibilistic variance of the return is termed measure of investment r...

Scientific progression has allowed researchers to develop novel and innovative ways deal with uncertainty in data, allowing for the development of more precise accurate data representation models. This paper aims extend an already reported concept Cubic Pythagorean fuzzy set Fuzzy Soft Set (CPFSs) as it incorporates both interval-valued sets (IVPFS) (PFS) at same time, providing a targeted appr...

Stock market prediction is important and of great interest because successful prediction of stock prices may promise attractive benefits. These tasks are highly complicated and very difficult. In this paper, we investigate the predictability of stock market return with Adaptive Network-Based Fuzzy Inference System (ANFIS). The objective of this study is to determine whether an ANFIS algorithm i...

optimal allocation of water resources is an essential service in agriculture that must be considered by farmers. one of the most significant factors in optimal allocation of water resources in agriculture is to define optimal farm cropping pattern. in this study, in order to determine optimal cropping pattern and water resources allocation in central district of mashhad city (toos village), the...