scholarly journals Recording and Evaluating the Tangible and Intangible Cultural Assets of a Place through a Multicriteria Decision-Making System

Heritage ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1483-1495
Author(s):  
Eleni Linaki ◽  
Konstantinos Serraos

The starting point of this paper is the fact that multicriteria decision-making systems have not had the greatest impact on cultural studies, and few researchers have addressed this problem. The paper focuses on the analysis of the main object of an ongoing Doctoral thesis. More specifically, it examines the proposal of a new multicriteria evaluation based on a decision-making method. The paper intends to relate culture with multicriteria decision-making methods. This systematic review provides the direct analysis and assessment of the existing bibliographic references, and addresses a gap of knowledge in the intangible research field, identifying trends in the broader cultural heritage sector. The two basic principles of the paper are the recording and the evaluation of the cultural significance of the intangible and tangible heritage assets of a place. More specifically, the paper seeks to address a new scientific tool that initially records and—in the process—evaluates, using quantitative and qualitative criteria, specific cultural assets. Moreover, the paper outlines a new approach to the calibration—from optimal to worse—of the heritage of a place according to its significance. The purpose of the record and the evaluation is to create a ranking list of the most culturally significant tangible and intangible asset of places, in order to manage them. The design of the multicriteria method is based on a system that can be constantly updated diachronically, and can be fulfilled with new cultural assets and then re-evaluated. The explanation of the system is given through a step-by-step guide to the data analysis process, ensuring that the system has elements that are easy to access, to understand, and to use by each state actor (institution, individual, company, etc.).

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Pu Li ◽  
Xudong Chen ◽  
Xinyi Qu ◽  
Qi Xu

The evaluation of mineral resources development efficiency is a typical multicriteria decision-making issue. Meanwhile, due to the limited existing technology, there might be subjectivity, ambiguity, and inaccuracy of the measurement of the evaluation index of mineral resources development efficiency. In this paper, we, considering the incomplete information, use the hesitant fuzzy linguistic approach to describe the psychological hesitation and ambiguity of the decision-maker in the actual evaluation process and then construct the general model of the development efficiency evaluation of the mineral resources by using the hesitant fuzzy linguistic terms sets and modified TODIM. Finally, this paper takes the Panxi area as an example to study the development efficiency of vanadium-titanium magnetite. The results show that the hesitant fuzzy linguistic multicriteria decision-making (MCDM) approach can be implemented to mineral resources evaluation and resources management.


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