Pythagorean Fuzzy MCDM Method Based on CODAS

2021 ◽  
pp. 261-272
Author(s):  
Xindong Peng
Keyword(s):  
Mcdm Method ◽  
Fuzzy Mcdm

DETERMINATION OF MAINTENANCE PRIORITY INDONESIAN NAVY SHIP DEPO LEVEL USING FUZZY MCDM

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (2) ◽  
pp. 75
Author(s):  
Donni Kartiko ◽  
Suparno Suparno ◽  
Okol S Suharyo ◽  
Ahmadi Ahmadi ◽  
Arica Dwi Susanto
Keyword(s):  
Decision Makers ◽  
Optimal Decision ◽  
Security Force ◽  
Weapon System ◽  
Priority Ranking ◽  
Sophisticated Equipment ◽  
Mcdm Method ◽  
Fuzzy Mcdm ◽  
Complete Overhaul

The Indonesian Navy as a defense and security force of the sea has combat tools and supporting facilities projected in the Integrated Fleet Weapon System (Sistem Senjata Armada Terpadu/SSAT) with several components including Indonesian navy ships, marines, aircraft and bases. Depo level maintenance is comprehensive maintenance that can only be carried out by personnel who are experts in their field and supported by complete and sophisticated equipment and facilities. Maintenance at this level includes complete overhaul repairment, repowering MLM (mid life modernization), calibration of all equipment, and repairs to all parts thoroughly. Depo Level Maintenance is the nature of maintaining technical conditions based on rotary hours. If the repair schedule specified in the SPT (System for Planned Maintenance), the schedule must be carried out. This research aimed to present a priority setting solution in Depo level maintenance wherein the highest Indonesian Navy Ship ranking is determined from the level of the decision makers. Fuzzy MCDM is a method developed for decision making on several alternative decisions to get an accurate and optimal decision. In Indonesian Navy Ship Hardepo priority ranking process taken from the level of data processing decision makers using the Fuzzy MCDM method, the 5 highest priority values in implementation were obtained. Hardepo with the highest scores were KRP-812 0.111, BDU-841 0.108, LAM-374 0.107, KRS-624 0.097 and TJA-541 0.073

scholarly journals A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Peipei You ◽  
Sijia Liu ◽  
Sen Guo
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Power Station ◽  
Power Stations ◽  
Comprehensive Performance ◽  
Mcdm Method ◽  
Fuzzy Mcdm ◽  
Pumped Storage

Considering the goals of carbon peaking and carbon neutrality, along with their related policies, pumped storage power stations are set to develop quickly in China. The comprehensive performance of pumped storage power stations must urgently be evaluated, which can help investors in decision making and provide a reference for policymakers. In this paper, a hybrid novel fuzzy multicriteria decision-making (MCDM) method combining the fuzzy best worst method (BWM) and fuzzy TOPSIS was proposed for the comprehensive performance evaluation of pumped storage power stations in China. The fuzzy BWM was utilized to determine the criteria weights describing the comprehensive performance of pumped storage power stations, while the fuzzy TOPSIS was used to rank the comprehensive performance of pumped storage power stations. The index system for the comprehensive performance evaluation of pumped storage power stations in China incorporated economic, social, and environmental aspects. The comprehensive performance of four pumped storage power stations in China was empirically evaluated using the proposed hybrid novel fuzzy MCDM method, and the results indicate that pumped storage power station PSPS2 exhibited the best comprehensive performance, followed by pumped storage power stations PSPS1 and PSPS4, whereas pumped storage power station PSPS3 had the worst comprehensive performance. A sensitivity analysis and comparative analysis were also conducted. The results indicate that the proposed hybrid novel fuzzy MCDM method, combining the fuzzy BWM and fuzzy TOPSIS for comprehensive performance evaluation of pumped storage power stations, is robust and effective.

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