A fuzzy MCDM method to select the best company based on financial report analysis

2011 ◽  
Author(s):  
Jung-Yuan Kung ◽  
Tzung-Nan Chuang ◽  
Chau Minh Ky
Keyword(s):  
Financial Report ◽  
Report Analysis ◽  
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 ANALISIS RASIO KINERJA KEUANGAN PROFITABILITAS PT WIJAYA KARYA (PERSERO) TBK. PERIODE 2014 - 2018

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Irwin Ananta Vidada ◽  
Ratiyah Ratiyah ◽  
Denny Erica ◽  
Hartanti Hartanti
Keyword(s):  
Financial Performance ◽  
Observation Data ◽  
Ratio Analysis ◽  
Literature Study ◽  
Financial Report ◽  
The Past ◽  
Profitability Analysis ◽  
Finance Company ◽  
The Face ◽  
Report Analysis

In estimating the risk in the face of uncertainty , companies can use analysis as a financial report estimated future formulation of the plans . Use report analysis a finance company capable of know estimation the work of these efforts division in his company. To know the financial performance of corporations in this is done through the profitability analysis ( rentabilitas ). Through the ratio of the company capable of measuring the extent to which the company ability to obtain profit. Objectives in this research is to investigate and to identify the financial performance of pt wijaya karya ( persero ) tbk a period of 2014 until 2018. In this research data collection used through via a observation and the literature study with reference to the company financial performance data. Research methodology in the writing of this is done through which is done based on the ratio of the with of a quantitative approach . Observation data to the financial pt wijaya karya ( persero ) tbk the period 2014 until 2018 . Based on the results of the analysis can summarized in general during the past year observation data ratio in the ratio of the gpm, npm, oim roe and had fluctuations caused earnings up and down and ratio in roa was decreasing.keywords : Ratio Analysis, Financial Performance, Profitabiliy

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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