An extended Exp-TODIM method for multiple attribute decision making based on the Z-Wasserstein distance
H Sun, Z Yang, Q Cai, G Wei, Z Mo - Expert Systems with Applications, 2023 - Elsevier
Z-numbers, as relatively emerging fuzzy numbers, are to a large extent close to human
language. For this reason, the Z-number is a powerful tool for representing expert evaluation …
language. For this reason, the Z-number is a powerful tool for representing expert evaluation …
An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods
In general, analysis of failure modes and their effects requires a group of experts to tackle
substantial uncertainties associated with the risk evaluation process. To date, to overcome …
substantial uncertainties associated with the risk evaluation process. To date, to overcome …
A reliability-based consensus model and regret theory-based selection process for linguistic hesitant-Z multi-attribute group decision making
In real-life decision making problems, reliability of information is one of the most concerning
factors. Accordingly, to avoid the involvement of inconsistent information in a multi-attribute …
factors. Accordingly, to avoid the involvement of inconsistent information in a multi-attribute …
A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management
S Jiang, H Shi, W Lin, HC Liu - Applied Soft Computing, 2020 - Elsevier
In hospital management, performance measurement is of vital importance for improving
healthcare service quality. The performance of a healthcare organization is often influenced …
healthcare service quality. The performance of a healthcare organization is often influenced …
A multi-criteria decision-making framework for risk ranking of energy performance contracting project under picture fuzzy environment
Identifying the priority of risks as regards energy performance contracting (EPC) projects is
one of the main issues faced by energy service companies. Considering the complexity and …
one of the main issues faced by energy service companies. Considering the complexity and …
Integrated AHP & TOPSIS methodology using intuitionistic Z-numbers: An application on hydrogen storage technology selection
The reliability of decision makers' judgments together with their degree of hesitancy are
often ignored in decision models. The inclusion of judgments with only triangular belonging …
often ignored in decision models. The inclusion of judgments with only triangular belonging …
A novel methodology for prioritizing zero-carbon measures for sustainable transport
Achieving a zero-carbon city requires a long-term strategic perspective. Transport emissions
are a major source of carbon emissions, and cities grapple with reducing carbon emissions …
are a major source of carbon emissions, and cities grapple with reducing carbon emissions …
Multi-stage type-α constrained minimum-cost consensus for linguistic Z-number large-scale decision-making
As an extension of group decision-making in terms of scale and uncertainty, linguistic Z-
number large-scale decision-making (LZ-LSDM) is emerging as a prominent research topic …
number large-scale decision-making (LZ-LSDM) is emerging as a prominent research topic …
A method of measuring uncertainty for Z-number
Z-number is a new framework of fuzzy sets that combines with constraint and reliability.
Managing the uncertainty of Z-number is an important issue in the fuzzy decision making of …
Managing the uncertainty of Z-number is an important issue in the fuzzy decision making of …
Generalized Z-numbers with hesitant fuzzy linguistic information and its application to medicine selection for the patients with mild symptoms of the COVID-19
Z Ren, H Liao, Y Liu - Computers & Industrial Engineering, 2020 - Elsevier
Fuzzy set theory and a series of theories derived from it have been widely used to deal with
uncertain phenomena in multi-criterion decision-making problems. However, few methods …
uncertain phenomena in multi-criterion decision-making problems. However, few methods …