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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

2-Tuple linguistic model, which is a fuzzy logic based linguistic decision-making tool, enables the use of multi-granulated linguistic variables in decision making. This property facilitates the decision-making process for decision makers (DMs) and provides a comfortable decision-making environment for them. Motivated by this advantage, this study suggests a decisionmaking methodology for a strategy selection subject. E-commerce subject is selected as an application area because of its growth in every sector as a result of the rapidly expanding new technologies. In this study, integrated SWOT analysis with group decision making (GDM) considering linguistic information is proposed. 2-Tuple linguistic model is used to normalize and aggregate them. An SME in the textile sector from Turkey has been chosen as a case study to test the applicability. The most suitable strategy for the SME business is determined with 2-Tuple decision making by FLINTSTONES program.

2-Tuple Linguistic Integrated Group Decision Making Methodology for E-Commerce Strategy Selection