波斯概率函数:经典概率函数的替代

A. Ranjbaran, M. Ranjbaran, Fatema Ranjbaran, Shamsodin Hashemi, Alimohammad Rousta
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引用次数: 1

摘要

本文详细介绍了为提出波斯曲线而进行的分析研究。该曲线提供了另一种概率函数来定义系统的状态。波斯曲线是状态变量的超函数,包括状态函数和两个控制参数。状态变量是系统的标度识别参数。状态函数是状态变量的两个特定函数。控制参数由实际数据确定。由于波斯曲线具有概率函数的基本性质,故称为波斯概率函数。所有的自然现象都是确定的,知识的缺乏导致人类将现象分为确定的和随机的两类。通过分析不同研究领域的概率数据,验证了所提出的波斯曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PERSIAN PROBABILITY FUNCTION: AN ALTERNATIVE TO CLASSICAL PROBABILITY FUNCTION
This paper presents the details of an analytical investigation which was carried out to propose Persian curve. The curve provides an alternative of probability functions to define the state of a system. The Persian curves are super functions of the state variable which includes state functions and two control parameters. The state variable is a scaled identification parameter of a system. The state functions are two specific functions of the state variable. The control parameters are determined from the real-world data. Since the Persian curve has the basic properties of the probability function, it is called the Persian probability function. It is concluded that all natural phenomena are certain and the lack of knowledge has led the humans to divide the phenomena into certain and stochastic categories. The proposed Persian curve was validated by analysing the probability data from different fields of study.
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