Some novel Kulisch-Miranker type inclusions for a generalized class of Godunova-Levin stochastic processes

Author:

Afzal Waqar1,Aloraini Najla M.2,Abbas Mujahid13,Ro Jong-Suk45,Zaagan Abdullah A.6

Affiliation:

1. Department of Mathematics, Government College University, Katchery Road, Lahore 54000, Pakistan

2. Department of Mathematics, College of Science, Qassim University, Buraydah 52571, Saudi Arabia

3. Department of Medical Research, China Medical University, Taichung, Taiwan

4. School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-gu, Seoul 06974, Republic of Korea

5. Department of Intelligent Energy and Industry, Chung-Ang University, Dongjak-gu, Seoul 06974, Republic of Korea

6. Department of Mathematics, College of Science, Jazan University, P.O. Box. 114, Jazan 45142, Saudi Arabia

Abstract

<abstract><p>Mathematical inequalities supporting interval-valued stochastic processes are rarely addressed. Recently, Afzal et al. introduced the notion of $ \mathtt{h} $-Godunova-Levin stochastic processes and developed Hermite-Hadamard and Jensen type inequalities in the setting of interval-valued functions. This note introduces a more generalized class of Godunova-Levin stochastic process that unifies several previously published results through the use of Kulisch-Miranker type order relations that are rarely discussed in relation to stochastic processes. Further, it is the first time that fractional version of Hermite-Hadamard inequality has been developed by using interval-valued stochastic processes in conjunction with a classical operator. Moreover, we give new modified forms for Ostrowski type results and present a new way to treat Jensen type inclusions under interval stochastic processes by using a discrete sequential form. We end with an open problem regarding Milne type results and discuss the importance of different types of order relations related to inequality terms in interval-valued settings.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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