scispace - formally typeset
R

Rustom Mamlook

Researcher at Arabian Gulf University

Publications -  26
Citations -  632

Rustom Mamlook is an academic researcher from Arabian Gulf University. The author has contributed to research in topics: Fuzzy set & Fuzzy logic. The author has an hindex of 9, co-authored 26 publications receiving 579 citations. Previous affiliations of Rustom Mamlook include Applied Science Private University & Philadelphia University (Jordan).

Papers
More filters
Journal ArticleDOI

Multi-criteria selection of electric power plants using analytical hierarchy process

TL;DR: In this article, the authors used analytical hierarchy process (AHP) methodology to perform a comparison between the different electricity power production options in Jordan, in addition to fossil fuel power plants, are nuclear, solar, wind, and hydro-power.
Journal ArticleDOI

Fuzzy sets programming to perform evaluation of solar systems in Jordan

TL;DR: In this article, the authors used fuzzy set methodology to perform the comparison between different solar systems for various applications, and determined the order in which solar systems should be given higher priority to be used in Jordan.
Journal ArticleDOI

A neuro-fuzzy program approach for evaluating electric power generation systems

TL;DR: In this paper, the authors used neuro-fuzzy programming to perform a comparison between the different electricity power generation options for Jordan, in addition to fossil fuel power plants, nuclear, solar, wind, and hydropower systems.
Journal ArticleDOI

Fuzzy sets analysis for leak detection in infrastructure systems: a proposed methodology

TL;DR: In this article, the authors proposed a methodology for detecting problems in environmental and infrastructure systems using a fuzzy set technique, which was applied to a case study in water distribution systems for validation.
Journal ArticleDOI

Fuzzy sets analysis for ballast water treatment systems: best available control technology

TL;DR: An overview on various ballast water treatment (BWT) technologies aboard different types of ships is presented in this article, where fuzzy sets methodology is used to perform a comparison among these different Ballast water systems to choose the best available control technology that should be given the highest priority in terms of development and research.