Fuzzy Logic Based Product Rating System

Problem Definition

Problem Description: In today's market, customers rely heavily on product ratings to make informed purchasing decisions. However, the current rating systems may not always provide accurate and precise ratings due to the limitations of traditional methods. There is a need for a more advanced and intelligently designed rating system that can take into account various factors and provide a more reliable rating for products. The Fuzzy Logic Based Artificially Intelligent Software App for Product Rating can address this problem by utilizing fuzzy logic techniques to extract features from products and evaluate their quality in a more precise manner. By incorporating fuzzy logic evaluation methods such as fuzzy synthetic evaluation, fuzzy interpretive structural modeling, and fuzzy clustering analysis, this software app can provide a more comprehensive and accurate rating for products, thereby helping customers make better purchasing decisions.

Proposed Work

The proposed work aims to develop a Fuzzy Logic Based Artificially Intelligent Software App for Product Rating. The project utilizes fuzzy logic as an interpretation model for neural networks and as a method for precise performance description. By employing an efficient fuzzy wavelet packet based feature extraction method and fuzzy logic based disorder assessment technique, the project investigates voice signals of patients with unilateral vocal fold paralysis. The developed fuzzy logic based rating system in Matlab allows customers to check product ratings before making a purchase. The project also focuses on deconstructing front-end components analysis by applying fuzzy logic evaluation to linked constraints in the components.

Through the implementation of fuzzy synthetic evaluation, fuzzy interpretive structural modeling, and fuzzy clustering analysis, the project enables modular design and planning application for products. The modules used in this project include Matrix Key-Pad, Introduction of Linq, and Fuzzy Logics. The proposed work falls under the categories of M.Tech | PhD Thesis Research Work and Optimization & Soft Computing Techniques, with subcategories including MATLAB Projects Software and Fuzzy Logics.

Application Area for Industry

The Fuzzy Logic Based Artificially Intelligent Software App for Product Rating can be utilized in a variety of industrial sectors such as e-commerce, retail, manufacturing, and consumer electronics. One of the major challenges faced by these industries is ensuring that customers receive accurate product ratings to make informed purchasing decisions. By implementing the proposed solutions of the project, these industries can provide more reliable and precise product ratings to their customers. This software app can help in improving customer satisfaction, increasing sales, and building brand loyalty by enabling customers to make better purchasing decisions based on more accurate product ratings. The use of fuzzy logic techniques in evaluating product quality can provide a more comprehensive and detailed understanding of products, addressing the limitations of traditional rating systems.

Overall, the implementation of this project's solutions can result in improved decision-making processes for customers and ultimately lead to better business outcomes for industries operating in competitive markets.

Application Area for Academics

The proposed project, the Fuzzy Logic Based Artificially Intelligent Software App for Product Rating, offers a valuable resource for research by MTech and PhD students in various fields. This project can be used to explore innovative research methods, simulations, and data analysis techniques for dissertations, theses, or research papers. By utilizing fuzzy logic evaluation methods such as fuzzy synthetic evaluation, fuzzy interpretive structural modeling, and fuzzy clustering analysis, researchers can conduct in-depth analysis of product ratings and develop more accurate rating systems. This project is particularly relevant for researchers in the fields of Optimization & Soft Computing Techniques, as it involves the use of MATLAB software and fuzzy logics for product assessment and rating. MTech students and PhD scholars can utilize the code and literature from this project to enhance their research in areas such as artificial intelligence, machine learning, and product evaluation.

The future scope of this project includes expanding the application of fuzzy logic techniques to other domains and industries, making it a valuable tool for researchers seeking to implement advanced rating systems and analysis methods.

Keywords

Fuzzy Logic, Artificial Intelligence, Product Rating, Fuzzy Synthetic Evaluation, Fuzzy Interpretive Structural Modeling, Fuzzy Clustering Analysis, Neural Networks, Feature Extraction, Disorder Assessment, Matlab, Voice Signals, Unilateral Vocal Fold Paralysis, Front-end Components Analysis, Modular Design, Planning Application, Matrix Key-Pad, Linq, M.Tech Thesis Research Work, PhD Thesis Research Work, Optimization Techniques, Soft Computing Techniques, MATLAB Projects Software, Fuzzy Logics.