Food Inflation and Monetary Policy in Emerging Economies

To study the fuzzy logical relationship between the cause event and result event in the system fault evolution process, a method of forming the expression of the fuzzy logical relationship by superposition of the basic logical relationships and fuzzy membership degree is proposed. It is called the fuzzy logical structure function. Two problems need to be solved to determine the fuzzy logical structure function. One is to determine the basic logical relationships; the other is to determine the fuzzy membership degree. The authors transform the 14 kinds of flexible logical relationships into the event occurrence logical relationship formula, which can be regarded as the basic logical relationships; the latter uses the enumeration method to change the fuzzy membership degree and obtains the optimal fuzzy membership degree when the fitness function is closest to 0. Finally, the form of the fuzzy logical structure function is obtained. The fuzzy logical relationship between the cause event and the result event is determined by using a neural network. With an example, it can be seen that the logical relationships between the cause event and the result event are implication and average, and its fuzzy membership degree is more than 80%; when using a neural network, the fuzzy membership degree has no practical significance, but it can obtain the result event probability more accurately through the cause event probability. Finally, the advantages and disadvantages of the method are summarised.

Recognition and determination of fuzzy logical relationship in the system fault evolution process

A theoretical and simulation analysis on the power of the frequency domain causality test

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Ting Yang

Author Tools

Chat about Author

Papers

A theoretical and simulation analysis on the power of the frequency domain causality test