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

In this paper, we introduce a nonlinear optimization problem whose objectivefunction is the convex log-sum-exp function and the feasible region is definedas a system of fuzzy relational inequalities (FRI) defined by the Lukasiewiczt-norm. Some necessary and sufficient conditions are derived to determine thefeasibility of the problem. The feasible solution set is characterized in termsof a finite number of closed convex cells. Since the feasible solutions set ofFRIs is non-convex, conventional methods may not be directly employed. Analgorithm is presented for solving this nonlinear problem. It is proved thatthe algorithm can find the exact optimal solution and an example is presentedto illustrate the proposed algorithm.

Log-sum-exp optimization problem subjected to Lukasiewicz fuzzy relational inequalities