Search Results - (( developing mcdm methods algorithm ) OR ( java optimization path algorithm ))

Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Improving multi-criteria decision making algorithm for material selection by Jahan, Ali

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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

“…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

“…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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Benchmarking routing algorithms in NoC-based MPSoCs using guaranteed convergence arithmetic optimization with artificial neural networks and fuzzy MCDM by R Muhsin, Al-Molla Yousif

“…At the same time, a multi-criteria decision-making (MCDM) approach (phase 2) analysis reveals that Adaptive Dimensional Bubble Routing, Message-based Congestion-Aware Routing, and Dynamic and Adaptive Routing Algorithms are ranked as the top three routing algorithms, respectively.…”
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Standardizing and weighting the evaluation criteria of many-objective optimization competition algorithms based on fuzzy delphi and fuzzy-weighted zero-inconsistency methods by Salih, Rawia Tahrir

“…Several studies in MCDM have proposed competitive weighting methods. …”
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Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

“…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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Explainable artificial intelligence-based intuitionistic fuzzy network TOPSIS preference relation models for sukuk investment decisions by Wan Wahida, Wan Mustafa

“…Three explainable models were developed, namely, intuitionistic fuzzy network TOPSIS, intuitionistic fuzzypreference relation, and intuitionistic fuzzy network preference relation with a weighting algorithm. …”
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Evaluation approach for efficient countermeasure techniques against denial-of-service attack on MPSoC-based IoT using multi-criteria decision-making by Al-Hchaimi, Ahmed Abbas Jasim, Sulaiman, Nasri, Mustafa, Mohd Amrallah, Mohtar, Mohd Nazim, Mohd Hassan, Siti Lailatul, Muhsen, Yousif Raad

“…Then, the multi-criteria decision-making methods were integrated. The CRITIC method for criteria weighting was followed by the development of the Fermatean-FDOSM method for ranking. …”
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A Review of Multi-criteria Decision-Making Methods Using Application of Variable Weight Theory and IF-TOPSIS-EF by Ayasrah, Omar, Faiz, Mohd Turan

“…This paper represents the methodology to conduct a research that aims to combine two methods (IFS-TOPSIS-exponential based and Variable Weight Theory) in a new technique that tackles the abovementioned gaps by following induction research approach to validate the new technique by utilizing the secondary data, then to use interviews to develop the mobile application algorithm to perform solving MCDM problems virtually.…”
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Development of a systematic method in lean tool selection for automotive industry by Anvari, Alireza

“…The proposed method was developed within a five step group decision making procedure to reach the desired aims. …”
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Ranking trapezoidal fuzzy numbers based on set theoretic indices with Hurwicz criterion / Nazirah Ramli by Ramli, Nazirah

“…This study investigates on the development of the NRI and based on that, two observations and three algorithms are created. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…An inappropriate selection of materials for engineering component would result in entire product failure which ultimately has a negative impact on the society. Several algorithms, methods and spreadsheets are being proposed by various researchers in this field to improve materials selection. …”
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An expert knowledge based decommissioning alternative selection system for fixed oil and gas assets in the South China Sea by Na, K.L., Lee, H.E., Liew, M.S., Wan Abdullah Zawawi, N.A.

“…A comprehensive framework is proposed to establish a practical working philosophy for the developed algorithm. © 2016 Elsevier Ltd…”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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Enhancing predictive performance in statistical modeling: Innovative hybrid best subset feature selection for rice production in Malaysia by Chuan, Zun Liang, Abraham Lim, Bing Sern, Ren Sheng, Tham, David Lau, King Luen, Tan, Chek Cheng

“…These selected determinants aligned with the four dimensions of food security and the key pillars of the Sustainable Development Goals (SDGs). The proposed feature selection method integrates mathematics techniques, specifically the modified Taguchi-based VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) multicriteria decision-making (MCDM) algorithm and three performance metrics. …”
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Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications by Shayea G.G., Zabil M.H.M., Albahri A.S., Joudar S.S., Hamid R.A., Albahri O.S., Alamoodi A.H., Zahid I.A., Sharaf I.M.

“…We employ principal component analysis (PCA) and two algorithms to fuse a large number of dataset features. …”

Predicting credit risk of the small medium enterprises using modified KMV model / Shakila Saad by Saad, Shakila

“…This study proposes a credit scoring method based on MCDM algorithm that will be able to forecast the score of the potential borrowers at a certain time by using the historic information. …”
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