A PSO fuzzy-expert system: As an assistant for specifying the acceptance by NOET measures, at PH.D level

Mousavi, Seyed Muhammad Hossein; Mirinezhad, S. Younes; Mosleh, Mehrdad Shafeii; Dezfoulian, Mir Hossein

doi:10.1109/aisp.2017.8324116

Cited by 10 publications

(2 citation statements)

References 13 publications

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“…To assess the effectiveness of each solution, its fitness will be evaluated using an error known as the Root Mean Squared Error (RMSE). It measures the disparity between the model's predicted output, denoted as y j s , and the actual output, represented by y j out , for a specific sample j [42][43][44].…”

Section: Proposed Yuki-trained Fuzzy Inference Systemmentioning

confidence: 99%

A Novel Approach for Individual Design Perception Based on Fuzzy Inference System Training with YUKI Algorithm

Benaissa,

Kobayashi,

Kinoshita

et al. 2023

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This paper presents a novel approach for individual design perception modeling using the YUKI algorithm-trained Fuzzy Inference System. The study focuses on understanding how individuals perceive design based on personality traits, particularly openness to experience, using the YUKI algorithm and Fuzzy C-means clustering algorithm. The approach generates several Sugeno-type Fuzzy Inference System models to predict design perception, to minimize the Root Mean Squared Error between the model prediction and the actual design perception of participants. The results demonstrate that the suggested method offers more accurate predictions compared to the traditional Fuzzy C-means Fuzzy Inference System and Deep Artificial Neural Networks, and the Root Mean Square deviation for individual design perceptions falls within a satisfactory range of 0.84 to 1.32. The YUKI algorithm-trained Fuzzy Inference System proves effective in clustering individuals based on their level of openness, providing insights into how personality traits influence design perception.

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Section: Proposed Yuki-trained Fuzzy Inference Systemmentioning

confidence: 99%

A Novel Approach for Individual Design Perception Based on Fuzzy Inference System Training with YUKI Algorithm

Benaissa,

Kobayashi,

Kinoshita

et al. 2023

Axioms

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“…The projects are distributed according to mechanisms that depend on points (student average, skills that he owns it in the field of Computer Science and Information Technology) supervisors should assist their students to complete the project, and guide them through the main stages of the graduation project. Thus, supervisors and other participants will be involved to track student work and progress [5][6][7]. For this purpose, we design an expert system, based on the students' skills the have to make an appropriate decision in distributing projects to students.…”

Section: Introductionmentioning

confidence: 99%

Design an expert system for students graduation projects in Iraq universities: Basrah University

Naser

Hasen

2021

IJECE

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A graduation project is a form or work that the study authority requests from the student to measure what he made during the study. Designed an expert system for students’ graduation projects at the University of Basrah for students who are obligated to submit a project that qualifies them to graduate from the university. The system works according to a set of requirements, the most important is first: The student's possession of a high rate that qualifies him for the project. Second: he must possess half of the skills required for the project provided that it includes at least one programming language example (c ++, java, PHP, c #, etc ...). The system has many features that help the Supervisors and Students Committee to manage students' projects efficiently. System is built as a web-based system, with access limited only to the university's local network.

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Metaheuristic Methods for Classification

2024

Machine Learning and Metaheuristic Computation

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A PSO fuzzy-expert system: As an assistant for specifying the acceptance by NOET measures, at PH.D level

Cited by 10 publications

References 13 publications

A Novel Approach for Individual Design Perception Based on Fuzzy Inference System Training with YUKI Algorithm

A Novel Approach for Individual Design Perception Based on Fuzzy Inference System Training with YUKI Algorithm

Design an expert system for students graduation projects in Iraq universities: Basrah University

Metaheuristic Methods for Classification

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