scholarly journals ANALISIS KNOWLEDGE MANAGEMENT MODEL MENGGUNAKAN METODE FUZZY SCREENING SYSTEM UNTUK MENENTUKAN KUADRAN KONDISI PERUSAHAAN STUDI KASUS PT. JAKARTA TEKNOLOGI UTAMA

2018 ◽  
Vol 5 (2) ◽  
pp. 1-30
Author(s):  
Andi Wijaya Putra ◽  
Mulyanto Mulyanto ◽  
Risnal Diansyah
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Multicriteria Decision Making ◽  
Sql Server ◽  
Management Model ◽  
Screening System ◽  
Multicriteria Decision

Perusahaan yang sukses untuk mencapai tujuannya secara optimal adalah perusahaan yang mampu merumuskan strategi, dan mengimplementasikan strategi secara efektif dan efisien. Hal ini dapat diterapkan dengan knowledge management model menggunakan metode Fuzzy Screening System untuk menentukan kuadran kondisi perusahaan, Fuzzy Screening System adalah salah satu metode multicriteria decision making (MCDM) yang menyatukan informasi yang diberikan oleh berbagai ahli dari menejemen tingkat atas dan menengah, dengan studi kasus PT. Jakarta Teknologi Utama aplikasi yang dibuat ini diharapkan dapat mengetahui sampai mana pencapaian kinerja perusahaan. Aplikasi dibangun berbasis web dengan menggunakan bahasa pemrogram PHP dan database my SQL Server, pengguna dari aplikasi ini adalah admin yang berperan mengelola data utama, pimpinan yang berperan melihat proses akhir dan laporan dan karyawan yang berperan mengisi quisioner. Dari hasil pengujian dapat disimpulkan bahwa metode Fuzzy Screening System dapat memberikan hasil berupa kuadran kondisi perusahaan dalam bentuk mapping.

scholarly journals Sustainability in the Business Sector: A Fuzzy Multicriteria Decision-Making Model for Financial Leasing Company Selection of the Vietnamese SMEs

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110360
Author(s):  
Fengsheng Chien ◽  
Chia-Nan Wang ◽  
Ka Yin Chau ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen
Keyword(s):  
Decision Making ◽  
Interest Rates ◽  
Small And Medium Enterprises ◽  
Multicriteria Decision Making ◽  
Primary Concern ◽  
Multicriteria Decision ◽  
Financial Leasing ◽  
Criteria Weights ◽  
Leasing Company ◽  
Selection Of

The uses and management of capital is extremely important to the operation of any businesses. However, not all businesses have available capital, so the use of loans in many different forms is always an effective solution in managing corporate finance. Accompanying with businesses, many financial leasing companies have implemented products and programs to lend money to businesses with low interest rates. So, choosing the best financial leasing company is a primary concern of businesses. To increase competitiveness, financial leasing companies often offer preferential conditions to attract businesses. Choosing the best financial leasing service to leasing is important and necessary to those businesses. Thus, the selection of a financial leasing company by small and medium enterprises benefits from the application of Multicriteria Decision-Making (MCDM) methods which allows the decision maker to consider various qualitative and quantitative criteria. In this article, the author applied Fuzzy Analytical Network Process (FANP) to calculate the related criteria weights of the financial leasing company selection problem of businesses. Then, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied to rank the potential decision-making units. This research establishes one complete and efficient model for financial leasing company selection using FANP and TOPSIS methods. The proposed model is then applied into a real-world case study to demonstrate its feasibility.

Optimal ecodesign selection for biodiesel production in biorefineries through multicriteria decision making

2021 ◽  
Author(s):  
Luisa Andrea González-Cruz ◽  
Luis Fernando Morales-Mendoza ◽  
Alberto Alfonso Aguilar-Lasserre ◽  
Catherine Azzaro-Pantel ◽  
Paulina Martínez-Isidro ◽  
...  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Biodiesel Production ◽  
Multicriteria Decision ◽  
Selection For

scholarly journals Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

2021 ◽  
Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Programming Model ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Decision Making Models ◽  
Best Worst Method

AbstractHesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.

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