Kenviro

Software as a Service and API with customizable Expert Systems, Decision Support Systems, Text Mining projects, Machine Learning projects and AI API.
ARDVRO has developed a new approach to expert system architecture in a project code-named KENVIRO as well as the other's core module in this project.
The inference engine calculated with Dempster-Shafer probabilistic theory on a frame-based knowledge representation.
This architecture provides more flexibility in considering the possibilities of problems and has the ability to decide more than one problem in percentages.
Kenviro's Expert Systems have an Automatic Knowledge Acquisition feature to reduce the disadvantages of manual knowledge acquisition.
The knowledge was sourced from a text in the natural English language.
This method will perform a Text Mining process including Information Retrieval Information Extraction and also involve a clustering process using Self Organizing Maps neural networks.
The Automated Knowledge Acquisition process was developed mainly based on Ardi's master thesis research.
Kenviro's Expert System also provides an input form to enter the knowledge base manually, therefore the conventional forward chaining and backward chaining inference method are available.
Kenviro also includes the Decision Support System module, Kenviro DSS also could be dealt with in the case of optimization, estimation, prediction, classification.
Click here for the detail of the reasoning methods.
Users can generate a decision support system with Kenviro in 3 steps: 1) Define the subject and select the Decision Type.
2) Define the criteria model or simply upload matrix data (rows columns data) in CSV.
3) Click Compute, then the calculation results will be ready in seconds.
Kenviro also has a text-mining tool by developing a new approach to provide meaningful pieces of information by undertaking further research based on Ardi's master research, to improve the accuracy of the text mining results and add a text summarization feature.
The core modules of the text mining process consist of Topics Retrieval, Sentences Extraction and Automatic Text Summarization.
Kenviro's text mining tools simplify the whole process with an easy to use user interface and easy to consume API.
As the implementation of the text mining tool, ARDVRO provides a plugin that can be used as a Knowledge Management System (KMS).
The KMS can help users to solve their problems at the first stage before heading the human agents, therefore, can minimize their workload.
As a result, a company can reduce their customer service cost.
The KMS is integrated with the ARDVRO WebAppGear Content Management System (CMS), which also provides a Ticketing System, CMS Live Chat Agent, and customer services email.
Thus, once you installed the KMS, you will also fully utilise all CMS features.
Kenviro also provides a tool to simulate the machine learning process from learning to execution.
By the end, you can call the API in the prediction or recognition task to your application.
It supports matrix data in rows and columns format and binary data such as images.
Artificial Intelligence API
Backpropagation Neural Network.
Evolutionary Algorithm.
Genetic Algorithm.
Fuzzy Logic.
Mamdani Fuzzy Inference.
Self Organizing Maps.
Linear Programming Optimization.
Big M Minimization.
Dual Minimization.
Simplex Maximation.
Linear Regression.
Gradient Descent.
Least Square Criterion.
Probabilistics and Decision Making
Analitical Hierarcy Process (AHP).
Bayes Theorem.
Comparative Performance Index (CPI).
Delphi Method.
Demster-Shafer.
Equal Likelihood.
Exponential Comparison.
Hurwitch.
Minimax Regression.
Text Mining
Topics Retrieval
Sentence Extraction
Automatic Text Summarization

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