scholarly journals An evaluation of destination attractiveness for nature-based tourism: Recommendations for the management of national parks in Vietnam

2019 ◽  
Vol 32 ◽  
pp. 51-80 ◽  
Author(s):  
Le Thanh An ◽  
Janusz Markowski ◽  
Maciej Bartos ◽  
Agnieszka Rzenca ◽  
Piotr Namiecinski
Keyword(s):  
National Parks ◽  
Socioeconomic Development ◽  
Management Strategies ◽  
Decision Makers ◽  
Preference Ranking ◽  
Tourism Marketing ◽  
Destination Attractiveness ◽  
Promethee Method ◽  
Tourism Destinations ◽  
And Performance

National parks are increasingly recognized as playing an important role in the development of nature-based tourism destinations that promote effective management of natural resources and socioeconomic development. The paper was designed to evaluate the tourism attractiveness and performance of national parks in Vietnam. The tourism performance of 30 Vietnamese national parks was evaluated using multiple criteria decision analysis with the stochastic multicriteria acceptability analysis (SMAA) and preference ranking organization method for enrichment evaluation (PROMETHEE) method; thirteen national park attributes were used to determine tourism attractiveness, measured by an exponential weighted acceptability index. It was found that the Phong Nha – Ke Bang, Cuc Phuong, and Ba Be National Parks were most attractive for more than 95% of all possible preference structures. In addition, 12 non-dominated national parks were identified, and for an average supporter of most non-dominated protected areas, the trail criterion appears to be the most important. A statistically significant correlation was found between tourism attractiveness and the number of tourists who visited national parks. Our findings offer potentially useful information for decision makers in developing effective tourism marketing and management strategies for national parks in Vietnam.

scholarly journals Review of PROMETHEE method in transportation

2021 ◽  
Vol 27 (1) ◽  
pp. 69-74
Author(s):  
Laila Oubahman ◽  
Szabolcs Duleba
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Evaluation Method ◽  
Scale Effects ◽  
Decision Makers ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Partial Ranking ◽  
Complete Ranking ◽  
Promethee Method

Abstract In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.

New hybrid AHP-QFD-PROMETHEE decision-making support method in the hesitant fuzzy environment: an application in packaging design selection

2021 ◽  
pp. 1-17
Author(s):  
Byanca Porto de Lima ◽  
Fernando Augusto Silva Marins ◽  
Aneirson Francisco da Silva
Keyword(s):  
Decision Making ◽  
Quality Function Deployment ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Preference Ranking ◽  
Packaging Design ◽  
Promethee Ii ◽  
Promethee Method ◽  
Design Selection ◽  
Decision Making Support

This paper presents a new hybrid decision-making support method (New Hesitant Fuzzy AHP-QFD-PROMETHEE II Method), which jointly uses the Analytic Hierarchy Process (AHP), the Quality Function Deployment (QFD) and the Preference Ranking Method for Enrichment Evaluation (PRO-METHEE II), as well as the Hesitant Fuzzy Linguistic Term Sets (HFLTS) to capture hesitation and aggregate divergent opinions from different experts. A real application of the new method to a packaging design selection problem for an automotive company is described, finding that AHP assisted in determining the importance of QFD’s customer requirements (CRs) and PROMETHEE II was used to select the best packaging design. With this same problem, for the purpose of validating the proposed method, a comparative analysis was made with the use of the Hesitant Fuzzy AHP-QFD-TOPSIS method and also with the traditional AHP-QFD-PROMETHEE method, which makes it impossible to capture the hesitation of decision makers. The result showed similarity in the rankings of design alternatives found in the three methods application. The proposed method proved advantageous for solving problems that can generally be solved with the QFD House of Quality but have serious difficulties when decision makers have divergent opinions and hesitate in evaluating criteria and alternatives.

APPLICATION OF DECISION SUPPORT SYSTEM FOR DETERMINING AMPHIBIOUS LANDING BEACH IN WEST PAPUA INDONESIA

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 8
Author(s):  
Budi Setiarso ◽  
Udisubakti Ciptomulyono ◽  
Bambang Suharjo ◽  
I Nengah Putra ◽  
A K Susilo
Keyword(s):  
Decision Support ◽  
Decision Makers ◽  
Preference Ranking ◽  
Successful Implementation ◽  
Group Decisions ◽  
Task Requirements ◽  
Promethee Method ◽  
Individual Decisions ◽  
Landing Beach

ABSTRACT Determination of the landing beach becomes a must for the Marine Forces of the Indonesian Navy as an element of the landing forces in order to carry out the task of amphibious operations in particular to determine the ideal landing beach location for the successful implementation of the task. Requirements on the determination of ideal landing beaches should be in accordance with predetermined parameters and serve as an important component in determining the weighting value of landing beach selection criteria. This study aims to determine the location of landing beaches by using the Preference Ranking Method Method of Organization for Enrichment Evaluation (PROMETHEE) combined into the Borda method. The research stages started from determining the value of criterion preferences to the landing beach alternative options analyzed by PROMETHEE method then processed again in Borda method. The PROMETHEE method is used to analyze individual decisions of decision makers, while the Borda method is used to manage group decisions from the PROMETHEE method of ranking. The use of both methods is a solution to generate more objective group decisions so as to obtain a ranking result against the selection of logical amphibious landing beaches and have an objective value in accordance with accurate data and greatly assist decision-makers to solve multi-criteria problems. From the results of this study can be seen that the location of the selected beach is the most feasible to serve as the location of landing beaches in amphibious operations is Beach 3 with a weighted value of 0.389.  Keywords: Amphibious operations, the landing beach, Decision Support Systems, PROMETHEE, Borda

Asset Management Evaluation: A Pilot Case Study

2006 ◽  
Vol 129 (1) ◽  
pp. 148-154
Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  
Keyword(s):  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Technical Management ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

The long term management of a production asset raises several major issues, among which rank the technical management of the plant, its economics, and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) that take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003 and PVP 2004, this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance), and the fleet level (how to manage a large number of similar assets). We then focus on the software tool that implements this methodology in order to allow decision makers to define, evaluate, and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used on a pilot case study. The technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies.

Asset Management Evaluation: Extended Pilot Case Studies

2007 ◽  
Author(s):  
P. Hai¨k ◽  
C. Bauby ◽  
J. Lonchampt ◽  
E. Remy
Keyword(s):  
Case Studies ◽  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Added Value ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

The long term management of a production asset raises several major issues among which rank the technical management of the plant, its economics and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) which take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 03 [1] and PVP 04 [2], this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance) and the fleet level (how to manage a large number of similar assets). We then focus on the software tools — introduced in PVP 04 [2] and PVP 05 [4] — that implement this methodology in order to allow decision makers to define, evaluate and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used, in 2006, on two pilot case studies. Examples of technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies or compare different plants. We also analyze the added value of probabilistic evaluations and of our “rolling-up” process that allows to take into account interactions existing between the components of the plant. Finally, we introduce some of the possible uses of our methodology and tools.

Asset Management Evaluation: A Pilot Case Study

2005 ◽  
Author(s):  
C. E. Bauby ◽  
B. Charbonnier ◽  
P. Haik ◽  
S. Lacombe ◽  
J. Lonchampt ◽  
...  
Keyword(s):  
Asset Management ◽  
Management Strategies ◽  
Software Tool ◽  
Decision Makers ◽  
Technical Management ◽  
Maintenance Policies ◽  
Plant Level ◽  
And Performance

The long term management of a production asset raises several major issues among which rank the technical management of the plant, its economics and the fleet level perspective one has to adopt. Decision makers are therefore faced with the need to define long term policies (up to the end of asset operation) which take into account multiple criteria including safety (which is paramount) and performance. In this paper we first remind the reader of the EDF three-level methodology for asset management. As introduced in PVP 2003 and PVP 2004, this methodology addresses the component/technical level (how to safely operate daily and invest for the future), the plant level (how to translate technical decisions into plant-wide consequences including economic performance) and the fleet level (how to manage a large number of similar assets). We then focus on the software tool that implements this methodology in order to allow decision makers to define, evaluate and analyze long term plant operation and maintenance policies. Lastly we show how the methodology and the software tool were used on a pilot case study. The technical and economic results obtained at the plant level are described as well as the conclusions one can draw from them in order to help decision makers evaluate and analyze long term asset management strategies.

scholarly journals PENGGUNAAN KONSEP RULES-IN-USE OSTROM DALAM ANALISIS PERATURAN PEMANFAATAN AIR DI KAWASAN KONSERVASI: STUDI KASUS TAMAN NASIONAL GUNUNG GEDE PANGRANGO

2021 ◽  
Vol 18 (2) ◽  
pp. 91-104
Author(s):  
Rudy Dwi Siswantoro ◽  
Hariadi Kartodihardjo ◽  
Hendrayanto Hendrayanto ◽  
Dudung Darusman Dudung Darusman
Keyword(s):  
National Parks ◽  
Decision Makers ◽  
Conservation Areas ◽  
Organizational Decision Making ◽  
Water Utilization ◽  
Nature Tourism ◽  
The Government ◽  
And Performance ◽  
Regulatory Analysis ◽  
Forest Parks

This study aims to analyze the substantial weaknesses of water utilization regulations in wildlife reserves, national parks, forest parks, nature tourism parks, and their effects on individual or organizational decision-making and actions. The research location is in the area of Taman Nasional Gunung Gede Pangrango (TNGGP). The analysis of this research is limited to Environment and Forestry Ministerial Regulations No. P.18/MENLHK/SETJEN/KUM.1/4/2019, Law No. 17 of 2019, and Environment and Forestry Ministerial Regulations No. P.6/MENLHK/SETJEN/KUM.1/1/2020. Regulatory analysis is carried out by identifying the characteristics of content of the regulations and comparing them with the conditions of water utilization in TNGGP to find out the implications of regulations on participant behavior and performance. Issues and problems are collected through interviews with participants. Furthermore, the regulations are analyzed using Ostrom's rules-in-use concept. The findin , based on the concept is that there is a discrepancy in the three regulations that all regulate water utilization permits in the conservation areas. This is mainly due to weak institutional strengthening among decision makers as well as laws and regulations made according to the interpretation of the government which often do not consider the conditions of the community.

scholarly journals A Two-Phase Model for Personnel Selection Based on Multi-Type Fuzzy Information

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1703
Author(s):  
Chen-Tung Chen ◽  
Wei-Zhan Hung
Keyword(s):  
Decision Making ◽  
Personnel Selection ◽  
Influence Factors ◽  
Quantitative Information ◽  
Decision Makers ◽  
Preference Ranking ◽  
Linguistic Variables ◽  
Two Phase ◽  
Promethee Method ◽  
High Level

From the viewpoint of human resource management, personnel selection is one of the more important issues for enterprises in a high-level competitive environment. In general, many influence factors, quantitative and qualitative, affect the decision-making process of personnel selection. For considering qualitative factors, decision-makers cannot always easily judge the suitable degree of each applicant. Under this situation, this research proposes a systematic decision-making method based on computing with linguistic variables. First, unsuitable applicants are filtered by considering the quantitative information of each applicant. At this stage, technique for order of preference by similarity to ideal solution (TOPSIS) and entropy methods are aggregated to eliminate unsuitable applicants in accordance with their closeness coefficient values. Second, experts (or decision-makers) use different types of 2-tuple linguistic variables to express their opinions of suitable candidates with respect to qualitative criteria. At this stage, we consider different preference functions in the preference ranking organization method for enrichment evaluation (PROMETHEE) method to calculate the outranking index of each suitable candidate. Next, we aggregate the closeness coefficient and outranking index of each suitable applicant to determine the ranking order. In order to illustrate the computational processes, an example demonstrates the practicability of the two-phase personnel selection method. The benefit of the proposed method is as follows. (1) It reduces the time for reviewing and evaluating the huge numbers of applicants. (2) It avoids subjective judgment by experts to determine the weights of all criteria. Finally, conclusions and contributions are discussed at the end of this paper.

scholarly journals Application Decision Support System using PROMETHEE Method

2019 ◽  
Author(s):  
Ade Parlaungan Nasution ◽  
Dahrul Aman Harahap ◽  
Ronal Watrianthos
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Programming Language ◽  
Conflict Of Interest ◽  
Decision Makers ◽  
Preference Ranking ◽  
Student Selection ◽  
Promethee Method ◽  
Selection Decision ◽  
Application Decision

Decision making is a condition that must occur at various top management levels and sometimesinterventions or conflict of interest occur in making decisions. Preference Ranking for Organization Method forEnrichment Evaluation (PROMETHEE) is a method that can be used to help decision makers in this case thebest student selection decision at a university. Tests carried out using the PROMETHEE method can produce acomplete ranking by eliminating the low value of each process in the PROMETHEE method and by developapplication using programming language it’s much faster to get decision.

scholarly journals Application Decision Support System using PROMETHEE Method

2019 ◽  
Author(s):  
Ronal Watrianthos
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Programming Language ◽  
Conflict Of Interest ◽  
Decision Makers ◽  
Preference Ranking ◽  
Student Selection ◽  
Promethee Method ◽  
Selection Decision ◽  
Application Decision

Decision making is a condition that must occur at various top management levels and sometimesinterventions or conflict of interest occur in making decisions. Preference Ranking for Organization Method forEnrichment Evaluation (PROMETHEE) is a method that can be used to help decision makers in this case thebest student selection decision at a university. Tests carried out using the PROMETHEE method can produce acomplete ranking by eliminating the low value of each process in the PROMETHEE method and by developapplication using programming language it’s much faster to get decision.

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