The ILHWLAD-MCDM Framework for the Evaluation of Concrete Materials under an Intuitionistic Linguistic Fuzzy Environment

Abstract

Concrete, one of the sources of energy consumption and carbon emissions, is widely used in the construction industry. The selection of concrete materials raises the question of energy sustainability and turns it into a complex multicriteria decision-making (MCDM) issue. To address this, we present an MCDM framework based on the intuitionistic linguistic hybrid weighted logarithmic averaging distance (ILHWLAD). To begin with, the intuitionistic linguistic numbers are used to deal with the uncertainty and fuzziness of the decision-making process. In addition, in view of the significance and the ordered position of the input arguments, an intuitionistic linguistic hybrid weighted logarithmic averaging distance (ILHWLAD) operator is defined. We, then, initiate the criteria system and present the MCDM framework based on the ILHWLAD to select the finest concrete. A case study involving four alternative materials, namely, autoclaved aerated concrete (AAC), hollow concrete blocks (HCB), expanded polystyrene (EPS), and lime hemp concrete (LHC), is presented to verify the scientificity of the framework.

Ordered weighted logarithmic averaging distance-based pattern recognition for the recommendation of traditional Chinese medicine against COVID-19 under a complex environment

“…According to the seventh edition of the COVID-19 diagnosis and treatment plan released by the Chinese National Health Commission, there are five TCM therapeutic schedules for patients with mild and moderate symptoms of COVID-19 (Chen et al , 2020). We further discuss these schemes.…”

“…There have been many types of fuzzy sets proposed, e.g., intuitionistic fuzzy set (Singh et al , 2020), hesitant fuzzy set (Surender and Sumita, 2018), dual hesitant fuzzy sets (Zhu et al , 2012) and the double hierarchy hesitant fuzzy linguistic term set (Gou et al , 2021). Different aggregate operators have been proposed to operationalize the fuzzy sets, e.g., generalized ordered weighted averaging (GOWA) operator (Zeng et al , 2021), induced ordered weighted logarithmic averaging distance (IOWLAD) operator (Zhang et al , 2021), induced generalized intuitionistic fuzzy ordered weighted averaging (IG-IFOWA) operator (Chen et al , 2020) and Hamacher operator (Chen et al , 2019), among others. The linguistic reasoning based on the fuzzy sets has gained more importance in tackling multicriteria problems (Zhang et al , 2019, 2020).…”