Purpose–The purpose of this paper is to select the optimal Lean Six Sigma (LSS) project
using hybrid fuzzy-based Multi-Criteria Decision-Making (MCDM) approach for an …

I4. 0 promotes a future in which highly individualized goods are mass produced at a
competitive price through autonomous, responsive manufacturing. In order to attain market …

Globalization has created a highly competitive and diverse market, an uncertain and risky
business environment, and changing customer expectations. An effective manufacturing …

The manufacturing industry has grown increasingly computerized and complex. Such
changes are brought about mainly by adopting Industry 4.0 (I4) technologies. I4. 0 promises …

An interesting attempt is taken to form a hybrid model by integrating Fuzzy Cognitive Map
(FCM), the Delphi Method, and the DEMATEL method through the Haar ranking of …

Considering the situation where decision values are q-rung orthopair triangular fuzzy
number (q-ROTFN) and pair-wise comparisons of alternatives and evaluation matrices are …

In many real life cases, the decision data of human judgments with preferences are often
vague so that the usual ways of using crisp values are inadequate also using fuzzy numbers …

This research aims to find, define, identify, describe, select and cluster (group, set) the
location selection factors of very large concentrated solar power plant investments in …

Emerging research has focused on uncertain linguistic term in group decision making
processes. The uncertain linguistic term is an important and frequently used as input in …

Fuzzy numbers play a vital role in all the decision making problems as it represents the
value to the linguistic terms which is the input for all the decision making techniques. In the …