scholarly journals Application of fuzzy and classical Multi-Criteria Decision-Making methods in assessing the forest area preservation level of Romania’s counties

2019 ◽  
Vol 25 (2) ◽  
pp. 263-272
Author(s):  
Andra Cosmina Albulescu ◽  
Daniela Larion
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Forest Area ◽  
Forest Loss ◽  
Multi Criteria Decision Making ◽  
County Level ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Forest Cutting

With over a quarter of its territory covered by forest, Romania stands out as a European country with a medium forest area extension. Despite the fact that the forest area has increased since 2008, there are counties that are affected by forest loss caused by outlawed forest cutting and other factors. This calls for improved knowledge and critical spatial planning of the forest area at county level. The aim of this study is to assess the forest area preservation level of Romania’s 41 counties using fuzzy and classical Multi-Criteria Decision-Making methods. The paper includes inferences regarding the distribution of the illegal forest cutting cases at county level, that link forest management issues with the forest area preservation level. Fuzzy Analytic Hierarchy Process (FAHP) is applied to weigh factors related to the changes of forest provisions, forest loss and forest regeneration processes, dimensions of forest exploitation and illegal forest cutting cases using forest data referring to 1990-2017. The alternatives are represented by the 41 counties of Romania and are evaluated by the use of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results are integrated with GIS and the choropleth map may serve as a powerful visual and practical tool for identifying the counties with pressing forest loss issues. Results show the counties with the lowest levels of forest area preservation were Argeș, Prahova and Gorj. Harghita, Brăila and Suceava counties recorded the highest levels of forest area preservation. While some of the counties that rank among the least in terms of forest area preservation are also altered by massive illegal forest cutting, there are others that serve as counter-examples. The discrepancies are explained by the provisional character of the illegal forest cutting data. Our study shows significant practical importance, pointing out the administrative units of Romania that need to take urgent action in order to mitigate the problem of forest loss and to better their forest management.   Keywords: forest area preservation, Fuzzy Analytic Hierarchy Process, Technique for Order of Preference by Similarity to Ideal Solution, forest management, illegal forest cutting, Romania.

Multi Criteria Decision Making Techniques in Urban Planning and Geology

2018 ◽  
pp. 530-568 ◽  
Author(s):  
Kadriye Burcu Yavuz Kumlu ◽  
Şule Tüdeş
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Spatial Information ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Geological Science ◽  
Simple Additive Weighting ◽  
Hierarchy Process

In this paper, Multi Criteria Decision Making (MCDM) processes will be clarified in the context of the disciplines related with the spatial information, as urban planning and its geographical perspective. For this purpose, first Spatial MCDM will be introduced, then the relation between the geographical data and GIS is established. Therefore, following sections include the detailed explanation of three widely used Spatial MCDM techniques, as Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). These techniques will be clarified by giving examples related with urban planning and geological science.

scholarly journals Evaluating Museum Virtual Tours: The Case Study of Italy

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 351 ◽  
Author(s):  
Katerina Kabassi ◽  
Alessia Amelio ◽  
Vasileios Komianos ◽  
Konstantinos Oikonomou
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
The Status ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums.

scholarly journals Аn example of different AHP structuring in a forest management problem

2016 ◽  
pp. 127-137
Author(s):  
Milena Lakicevic ◽  
Bojan Srdjevic ◽  
Ivaylo Velichkov ◽  
Zorica Srdjevic
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Analytic Hierarchy Process ◽  
Evaluation Procedure ◽  
Decision Making Process ◽  
Management Problem ◽  
Consistency Check ◽  
Analytic Hierarchy ◽  
Hierarchy Process

The paper investigates how different hierarchy structuring in analytic hierarchy process (AHP) may affect the final results in the decision-making process. This problem is analyzed in a case study of the Rila monastery forest stands in Bulgaria. There were three similar and mutually overlapped hierarchies defined. A decision maker evaluated all of them and after analyzing final results and consistency performance, he selected and revised the most appropriate hierarchy structure. Consistency check assisted in detecting the judgments which have strongly violated evaluation procedure. These mistakes are interpreted as a consequence of a large number of required pair-wise comparisons. The paper emphases the importance of properly defining hierarchy structure and recommends using consistency analysis as a guide and not as a directive for the revision of judgments.

Some Conflicting Results in the Analytic Hierarchy Process

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Unexpected Result ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

scholarly journals A consumer-based textile quality scoring model using multi-criteria decision making

2019 ◽  
Vol 14 ◽  
pp. 155892501985477
Author(s):  
Romain Benkirane ◽  
Sébastien Thomassey ◽  
Ludovic Koehl ◽  
Anne Perwuelz
Keyword(s):  
Decision Making ◽  
Quality Criteria ◽  
Quality Score ◽  
Ranking Method ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Requirements Specifications ◽  
Textile Testing ◽  
Fuzzy Techniques ◽  
Hierarchy Process

In the clothing industry, the understanding of the quality is a major issue to well meet the customer needs. The dilemma that faces manufacturers is to find the balance between good quality and “overquality,” what the quality criteria are, and how to target requirements specifications. The aim of this study was to propose a multi-attribute ranking method of products. Ranking is based on an overall quality score. The quality score, here called consumer-based quality, is computed via the combination of textile testing and consumer perception to deterioration. Such a perception has been surveyed, and damage that can lead to end of life has been investigated. Collected data have been translated into a consumer sensitivity using multi-criteria decision making and fuzzy techniques. The fuzzy analytic hierarchy process has been used. Five damage categories have been weighted. A selection of appropriate tests according to standards has been completed to test the product resistance to the damage. The tests results have been computed with the consumer sensitivity to obtain the consumer-based quality score. Finally, the ranking method is applied on T-shirts, and a single score ranking is made possible and objectively depict perceived quality.

scholarly journals A Novel Neutrosophic Data Analytic Hierarchy Process for Multi-Criteria Decision Making Method: A Case Study in Kuala Lumpur Stock Exchange

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 53687-53697 ◽  
Author(s):  
Desmond Jun Yi Tey ◽  
Yee Fei Gan ◽  
Ganeshsree Selvachandran ◽  
Shio Gai Quek ◽  
Florentin Smarandache ◽  
...  
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Stock Exchange ◽  
Multi Criteria Decision Making ◽  
Kuala Lumpur ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Data Analytic

scholarly journals An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

2016 ◽  
Vol 15 (04) ◽  
pp. 861-885 ◽  
Author(s):  
Miguel Angel Ortiz Barrios ◽  
Fabio De Felice ◽  
Kevin Parra Negrete ◽  
Brandon Aleman Romero ◽  
Adriana Yaruro Arenas ◽  
...  
Keyword(s):  
Medical Equipment ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Crucial Step ◽  
Complex Decision ◽  
Mcdm Method ◽  
Hierarchy Process

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

On a Decision Making Method Based on Ideal Objective Method

2013 ◽  
Vol 347-350 ◽  
pp. 3186-3189
Author(s):  
Tian Wen Luo ◽  
Hai Feng Tan ◽  
Xiao Juan Wang ◽  
Xin Wei Bai
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Solution Method ◽  
Ideal Solution ◽  
Objective Method ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Hierarchy Process

By comparing several typical multi-objective decision-making methods, an ideal objective method is proposed, which combines Similarity to Ideal Solution Method and Analytic Hierarchy Process (AHP). After validation, this ideal objective method is both scientific and accurate in the process of target key decision.

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