English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Rough membership function defines the measurement of relationship betweenconditional and decision attribute from an Information system. In this paper wepropose a new method to construct rough graph through rough membership function$\omega_{G}^F(f)$. Rough graph identifies the pattern between the objects withimprecise and uncertain information. We explore the operations and propertiesof rough graph in various stages of its structure.

Construction of Rough graph to handle uncertain pattern from an Information System