Dilsel bulanık modelleme (DBM), gerçek hayat problemlerine ilişkin belirsizliklerin kelimeler ve semboller yardımıyla ifade edilmesini sağlayan bir yaklaşımdır. DBM sayesinde belirsizlikler daha anlaşılır şekilde edilebildiği için genellikle insanların dâhil olduğu süreçlerin modellemesi kullanışlıdır. ile ilgili önemli zayıflık, dilsel terimlere karşılık gelen kümelerin (BK) çekirdek destek no...

Aims: The aim of this paper is to present some 2-tuple prioritized aggregation operators for handling the multiple attribute group decision making problems where there exists a prioritization relationship over the attributes and decision makers. Study Design: Motivated by the idea of the prioritized aggregation (PA) operators, we first develop two 2-tuple prioritized aggregation operators calle...

Municipal engineering is an important infrastructure that supports normal production and life of the city. With the development of urbanization, its characteristics of comprehensiveness and complexity emerge increasingly and its importance requires each public work to have a high standard of quality. In this paper, we studied the evaluation problems for quality evaluation of municipal engineeri...

Modern systems for information retrieval, fusion and management need to deal more and more with information coming from human experts usually expressed qualitatively in natural language with linguistic labels. In this paper, we propose and use two new 2-Tuple linguistic representation models (i.e., a distribution function model (DFM) and an improved Herrera-Mart́ınez’s model) jointly with the fu...

Service adoption analysis is a useful instrument for reducing the risk of new service development and launch. The purpose of this study is to develop a 2-tuple fuzzy linguistic approach for assessing the intention level of service adoption. In doing so, a theoretical framework for service adoption analysis is proposed. Under this framework, a 2-tuple fuzzy linguistic approach is then proposed f...