An Interactive Approach for Multicriteria Decision Making Using a Tchebycheff Utility Function Approximation

2013 ◽  
Vol 21 (3-4) ◽  
pp. 153-172 ◽  
Author(s):  
Ozgen Ozbey ◽  
Mark H. Karwan
2011 ◽  
Vol 12 (1) ◽  
pp. 69-91 ◽  
Author(s):  
Maciej Nowak

In the paper a discrete multicriteria decision making problem under risk is considered. It is assumed that the set of alternatives consists of a finite number of elements that are explicitly described. The evaluations of alternatives with respect to criteria are represented by distribution functions. The decision maker tries to find a solution preferred to all other solutions. To solve the problem one has to analyze the decision maker's preferences. In the study interactive approach is used. Three interactive methods and its applications in operations management are presented. Santrauka Straipsnyje pateikiama diskreèiuju sprendimu priemimo problemos analize apimant rizikos veiksnius. Pasirinkimo alternatyvos suprantamos kaip kompleksas baigtiniu elementu ir alternatyvos, atsižvelgiant i kriterijus, yra išreikštos paskirstymo funkcijomis. Priimant sprendimus butina atrasti išeiti, priimtin tolesniems sprendimams. Straipsnyje siuloma, kad, norint išsprêsti vien problem, butina išanalizuoti sprendimu vertintojo lukesèius.


SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110360
Author(s):  
Fengsheng Chien ◽  
Chia-Nan Wang ◽  
Ka Yin Chau ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen

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.


Author(s):  
Luisa Andrea González-Cruz ◽  
Luis Fernando Morales-Mendoza ◽  
Alberto Alfonso Aguilar-Lasserre ◽  
Catherine Azzaro-Pantel ◽  
Paulina Martínez-Isidro ◽  
...  

Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang

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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