Results 41 to 50 of about 113,070 (339)

Fuzzy Analytic Hierarchy Process to Solve the Child Abuse Problem

Journal of Computing Research and Innovation, 2020
Children always bring so much joy, happiness and laughter to one’s life. Unfortunately, they were al ways being the target to abuse. The effects of child abuse are severe and long - lasting to the victims. While recently Malaysia statistic has reported a
Norpah Mahat, Nur Farhiyah Zulkofli
doaj   +5 more sources

Risk Assessment of Tunnel Portals in the Construction Stage Based on Fuzzy Analytic Hierarchy Process

Archives of Civil Engineering, 2018
This study presents a fuzzy analytic hierarchy process (FAHP) by integrating analytic hierarchy process (AHP) and fuzzy cognition to evaluate the construction risks of tunnel portals.
Deng Xianghui, Wang Rui, Xu Tian
doaj   +1 more source

Application of improved fuzzy best worst analytic hierarchy process on renewable energy [PDF]

PeerJ Computer Science, 2021
In this work, a novel fuzzy decision making technique namely trapezoidal fuzzy Best-Worst method (fuzzy BWM) is developed which is based on Best-Worst method (BWM) and Trapezoidal fuzzy number.
Priyanka Majumder, Valentina Emilia Balas, Arnab Paul, Dayarnab Baidya   +3 more
doaj   +2 more sources

FUZZY ANALYTIC HIERARCHY PROCESS: A COMPREHENSIVE LITERATURE REVIEW

International Journal of the Analytic Hierarchy Process
This literature review explores the advancements and applications of Fuzzy Analytic Hierarchy Process (FAHP) technique between 2019 and 2024, in addition to the studies that combined or compared FAHP with other methods. FAHP integrates Analytic Hierarchy
Monzer Alharairi, S. H. Amin, Saeed Zolfaghari, L. Fang   +3 more
semanticscholar   +1 more source

Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]

, 2003
This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X., Jimmy Ho-man Lee, Lee, JH, Lee, JH-M, Luo, X, Leung, H, Jennings, N. R., Nicholas R. Jennings, Xudong Luo, Ho-fung Leung, Leung, H., Leung, H-F, Jennings, NR, Luo, Xudong, Lee, J.H.   +14 more
core   +1 more source

The Application of Fuzzy Analytic Hierarchy Process in Sustainable Project Selection

Sustainability, 2020
The project selection process is a crucial step in sustainable development. Effective sustainable development depends on the ability to select the appropriate sustainable project to implement to ensure that the desired goals are met.
R. Alyamani, Suzanna Long
semanticscholar   +1 more source

Integrated analytic hierarchy process and fuzzy analytic hierarchy process for Sahel watershed flood susceptibility assessment, Algeria

Water Practice & Technology
Effective disaster management heavily relies on accurate flood susceptibility mapping. The fuzzy analytic hierarchy process (FAHP) is adept at considering the imprecise nature of decision-making criteria.
Elhadj Mokhtari, Brahim Abdelkebir, Abdelouahed Djenaoui, N. Hamdani   +3 more
semanticscholar   +1 more source

Selecting Appropriate Water–Energy Solutions for Desalination Projects in Coastal Areas

Journal of Marine Science and Engineering
Selecting the appropriate desalination and renewable energy technologies is crucial for the success of desalination projects, as each technology offers distinct advantages and disadvantages tailored to specific project requirements.
Abanoub Shenouda, Mona A. Hagras, Eugen Rusu, Sayed Ismael, Hady H. Fayek, Ahmed Balah   +5 more
doaj   +1 more source

Six Sigma Project Selection Using Extent Fuzzy AHP: An Empirical Study [PDF]

International Journal of Research in Industrial Engineering, 2013
Six sigma is a project driven approach that concentrates on reducing variations, defects and improving the quality of products, processes as well as services.
S.K. Tiwari, R.K. Singh, S.C. Srivastava
doaj  

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source