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Your search keyword '"Ullah, Kifayat"' showing total 41 results
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41 results on '"Ullah, Kifayat"'

28. Iterative Algorithm for Mappings Satisfying Bγ,μ Condition

Author

Abdeljawad, Thabet, Ullah, Kifayat, and Ahmad, Junaid

Subjects
Article Subject, QA1-939, Mathematics
Abstract

In this article, we introduce a novel iterative algorithm to approximate fixed point of mappings with Bγ,μ condition. We establish some strong and weak convergence results in a uniformly convex Banach space. Using a numerical example, we compare the speed of the proposed algorithm with some leading iterative algorithms.

Published
2020

37. Linear Diophantine Uncertain Linguistic Power Einstein Aggregation Operators and Their Applications to Multiattribute Decision Making.

Author

Mahmood, Tahir, Izatmand, Ali, Zeeshan, Ullah, Kifayat, Khan, Qaisar, Alsanad, Ahmed, and Mosleh, Mogeeb A. A.

Subjects
AGGREGATION operators, MULTIPLE criteria decision making, DECISION making, FUZZY sets, DILEMMA
Abstract

Linear Diophantine uncertain linguistic set (LDULS) is a modified variety of the fuzzy set (FS) to manage problematic and inconsistent information in actual life troubles. LDULS covers the grade of truth, grade of falsity, and their reference parameters with the uncertain linguistic term (ULT) with a rule 0 ≤ α AMG u AMG x + β ANG v AMG x ≤ 1 , where 0 ≤ α AMG + β ANG ≤ 1. In this study, the principle of LDULS and their useful laws are elaborated. Additionally, the power Einstein (PE) aggregation operator (AO) is a conventional sort of AO utilized in innovative decision-making troubles, which is effective to aggregate the family of numerical elements. To determine the interrelationship between any numbers of arguments, we elaborate the linear Diophantine uncertain linguistic PE averaging (LDULPEA), linear Diophantine uncertain linguistic PE weighted averaging (LDULPEWA), linear Diophantine uncertain linguistic PE geometric (LDULPEG), and linear Diophantine uncertain linguistic PE weighted geometric (LDULPEWG) operators; then, we discuss their useful results. Conclusively, a decision-making methodology is utilized for the multiattribute decision-making (MADM) dilemma with elaborated information. A sensible illustration is specified to demonstrate the accessibility and rewards of the intended technique by comparison with certain prevailing techniques. The intended AOs are additional comprehensive than the prevailing ones to exploit the ambiguous and inaccurate knowledge. Numerous remaining operators are chosen as individual incidents of the suggested one. Ultimately, the supremacy and advantages of the elaborated operators are also discussed with the help of the geometrical form to show the validity and consistency of explored operators. [ABSTRACT FROM AUTHOR]

Published
2021
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38. Iterative Approximation of Fixed Points by Using F Iteration Process in Banach Spaces.

Author

Ahmad, Junaid, Ullah, Kifayat, Arshad, Muhammad, and de la Sen, Manuel

Subjects
*BANACH spaces, *NONEXPANSIVE mappings
Abstract

We connect the F iteration process with the class of generalized α -nonexpansive mappings. Under some appropriate assumption, we establish some weak and strong convergence theorems in Banach spaces. To show the numerical efficiency of our established results, we provide a new example of generalized α -nonexpansive mappings and show that its F iteration process is more efficient than many other iterative schemes. Our results are new and extend the corresponding known results of the current literature. [ABSTRACT FROM AUTHOR]

Published
2021
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41. Modeling MAC Protocol Based on Frame Slotted Aloha for Low Energy Critical Infrastructure Sensor Networks.

Author

Ullah, Niamat, Ullah, Kifayat, Islam, S. M. Riazul, Khan, Pervaiz, Ullah, Sana, and Kwak, Kyung Sup

Subjects
*WIRELESS sensor network access control, *DATA packeting, *ENERGY consumption, *COMPUTER simulation, *PROBABILITY theory, *QUALITY of service, *COMPUTER network protocols
Abstract

We propose and analyse a medium access control (MAC) protocol for low energy critical infrastructure monitoring (LECIM) networks. As the packet drop probability plays crucial role in LECIM applications, we propose framed slotted aloha based MAC for LECIM using linearly increased contention window size to reduce the packet drop probability. We present a mathematical model of our proposed MAC under both saturated and nonsaturated traffic scenarios. We use probabilistic approach to find the performance metrics such as collision probability, packet drop probability, throughput, and energy consumption. Also, we obtain the probability-generating function of the head-of-line (HoL) delay of packet. The analytical results match with simulations. Our results can be used in the design of a system by providing the optimum system parameters for endpoints satisfying the given quality of service requirements on packet drop probability, energy consumption, and delay. [ABSTRACT FROM AUTHOR]

Published
2015
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