S
Sadoullah Ebrahimnejad
Researcher at Islamic Azad University
Publications - 67
Citations - 1347
Sadoullah Ebrahimnejad is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Fuzzy logic & Supply chain. The author has an hindex of 17, co-authored 62 publications receiving 981 citations. Previous affiliations of Sadoullah Ebrahimnejad include Islamic Azad University of Karaj & Islamic Azad University South Tehran Branch.
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Risk identification and assessment for build-operate-transfer projects: A fuzzy multi attribute decision making model
TL;DR: TwoFuzzy Technique for Order Preference by Similarity to Ideal Solution and Fuzzy Linear Programming Technique for Multidimensional Analysis of Preference methods are presented in order to rank high risks in BOT projects.
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A novel two-phase group decision making approach for construction project selection in a fuzzy environment
TL;DR: In this paper, a two-phase group decision-making (GDM) approach was proposed to solve the construction project problem under multiple criteria in a fuzzy environment and proposed a new twophase GDM approach integrated a modified analytic network process (ANP) and an improved compromise ranking method, known as VIKOR.
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Emperor Penguins Colony: a new metaheuristic algorithm for optimization
TL;DR: A new metaheuristic algorithm, inspired by the behavior of emperor penguins which is called Emperor Penguins Colony (EPC), is proposed, which is controlled by the body heat radiation of the penguins and their spiral-like movement in their colony.
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Multi-Criteria Decision Making for Plant Location Selection: An Integrated Delphi–AHP–PROMETHEE Methodology
TL;DR: In this paper, an integrated decision-making methodology is designed that employs the three well-known decision making techniques, namely Delphi, analytic hierarchical process (AHP), and preference ranking organization method for enrichment evaluations (PROMETHEE) in order to make the best use of information available, either implicitly or explicitly.
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Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization
TL;DR: This paper presents a new population-based metaheuristic algorithm inspired by a new source of inspiration called Giza Pyramids Construction (GPC) inspired by the ancient past that is successful in solving high-dimensional problems, especially image segmentation.