Su et al. (2012SU I-J, TSAI C-C & SUNG W-T. 2012. Area temperature system monitoring and computing based on adaptive Fuzzy logic in wireless sensor networks. Applied Soft Computing, 12: 152-1541.) |
Applies fuzzy logic to assist in calculating the temperature of a wireless sensor network monitoring area. |
Mukherjee and Dasgupta (2013MUKHERJEE S & DASGUPTA P. 2013. A fuzzy real-time temporal logic. International Journal of Approximate Reasoning, 54: 1452-1470.) |
Adopts fuzzy logic to calculate the quality of control satisfaction in control system applications. |
Aksoy et al. (2014AKSOY A, SUCKY E & ÖZTÜRK N. 2014. Dynamic strategic supplier selection system with Fuzzy logic. Procedia - Social and Behavioral Sciences, 109: 1059-1063.) |
Uses fuzzy logic to solve multi-period dynamic decision making for strategic supplier selection with stochastic demand. |
Perera and Lahat (2014PERERA EDP & LAHAT L. 2014. Fuzzy logic based flood-forecasting model for the Kelantan river basin, Malaysia. Journal of Hydro-Environment Research, 9(4): 542-553.) |
Applies fuzzy logic for real-time flood forecasting in the Kelatan River Basin in Malaysia. |
Sheehan and Gough (2016SHEEHAN T & GOUGH M. 2016. A platform-independent Fuzzy logic modeling framework for environmental decision support. Ecological Informatics, 34: 92-101.) |
Employs fuzzy logic to evaluate landscapes for conservation and resource planning. |
Loh et al. (2017LOH HS, ZHOU Q, THAU VV, WONG YD & YUEN KF. 2017. Fuzzy comprehensive evaluation of port-centric supply chain disruption threats. Ocean & Coastal Management, 148: 53-62) |
They perform an analysis of the supply chain of ports, assessing the probability and severity of threats of disruption of this chain centered on ports, applying an evaluation by the comprehensive fuzzy method. |
Karimi et al. (2018KARIMI M, NIKNAMFAR AH, TAGHI S & NIAKI. 2018. An application of Fuzzy-logic and grey-relational ANP- based SWOT in the ceramic and tile industry. Knowledge- Based Systems, 18: 581-594.) |
Fuzzy logic is applied to ANP for the SWOT analysis of a ceramic and tile factory in Iran. |
Zhou et al. (2018ZHOU Q, WONG YD, LOH HS & YUEN KF. 2018. A Fuzzy and Bayesian network CREAM model for human reliability analysis- the case of tanker shipping. Safety Science, 105: 149-157.) |
They propose a quantitative human reliability analysis (HRA) model based on fuzzy logic theory, Bayesian networks, and the cognitive reliability and error analysis method (CREAM) for tanker transportation industries. |
Rajasekhar et al. (2019RAJASEKHAR M, RAJU GS, SREENIVASULU Y & RAJU RS. 2019. Delineation of groundwater potential zones in semi-arid region of Jilledubanderu river basin, Anantapur District, Andhra Pradesh, India using Fuzzy logic, AHP and integrated Fuzzy-AHP approaches. HydroResearch, 2: 97-108.) |
Applies fuzzy logic to a multi-criteria method to construct groundwater potential mapping in India. |
Pandey and Shukla (2019PANDEY MM & SHUKLA D. 2019. Evaluating the human performance factors of air traffic control in Thailand using Fuzzy multi criteria decision making method. Journal of Air Transport Management, 81: 101708.) |
Through fuzzy multicriteria decision making an evaluation of the factors influencing the human performance of air traffic control in Thailand was conducted. |
Tseng and Pilcher (2019TSENG PH & PILCHER N. 2019. Evaluating the key factors of green port policies in Taiwan through quantitative and qualitative approaches. Transport Policy, 82: 127-137.) |
It uses fuzzy logic together with AHP method to analyze the main factors affecting green port policies, applied to three ports in Taiwan. |
Wu et al. (2020WU B, CHENG T, YIP TL & WANG Y. 2020. Fuzzy logic dynamic decision-making system for intelligent navigation strategy within inland traffic separation schemes. Ocean Engineering, 197.) |
Applies fuzzy logic to assist in decision making for the selection of navigation strategy in the scheme of separation of inland traffic, being safe navigation or in the process of autonomous navigation. |
Zindani et al. (2021ZINDANI D, MAITY SR & BHOWMIK S. 2021. Complex interval-value intuitionistic fuzzy TODIM approach and its application to group decision making. Journal Ambient Intell Human Comput, 12: 2079-2102.) |
Applies the fuzzy intuitionist approach along with the TODIM method to assist in choosing the best machine for a particular company based on four criteria: reliability, safety, flexibility, and productivity. |