scholarly journals Samsun İlinde Kurulabilecek Kompost Tesislerinin COCOSO ve WASPAS Yöntemiyle Optimallik Sıralaması

2022 ◽  
Vol 9 (sp) ◽  
pp. 2515-2522
Author(s):  
Sinan Dündar ◽  
Hüdaverdi Bircan ◽  
Hasan Eleroğlu
Keyword(s):  
Decision Making ◽  
Soil Structure ◽  
Plant Location ◽  
Multi Criteria Decision Making ◽  
Cluster Number ◽  
The Third ◽  
Decision Making Problem ◽  
Criteria Weights ◽  
Compost Plant ◽  
Optimal Ranking

The compost product, which offers many benefits such as the evaluation of organic wastes, improvement of soil structure, neutralization of toxins and pH balance of the soil, has significant potential for the improvement of our country's lands. Considering the development of animal existence in our country, the production of compost product to be obtained from feces, which is the product of these animal beings, is an issue that needs to be emphasized. The choice of plant location, which must be determined for an investment to be made for the acquisition of this product emerges as a separate problem. For this reason, in this study, the order of optimality among the alternatives for compost plant installation is considered as a multi-criteria decision making problem. For this purpose, the criteria determined for 10 clusters with the potential of 35,829 animals that can produce compost in Samsun were weighted by the SWARA method. The optimal ranking of these 10 compost clusters was carried out using the COCOSO and WASPAS methods, by means of the criteria weights taken into consideration. According to the ranking results obtained from both methods, it was determined that the cluster number 27 was in the first rank, the cluster no 13 was in the second rank, and the cluster no 14 was in the third rank.

scholarly journals Aras ve Copras Yöntemleriyle Yozgat İlinde Kurulabilecek Biyogaz, Kompost, Vermikompost Tesislerinin Optimallik Sıralaması

2018 ◽  
Vol 6 (12) ◽  
pp. 1844 ◽  
Author(s):  
Rahim Arslan ◽  
HÜdaverdi Bircan ◽  
Hasan Eleroğlu
Keyword(s):  
Decision Making ◽  
Feasibility Study ◽  
Plant Location ◽  
Optimal Order ◽  
Multi Criteria Decision Making ◽  
Location Selection ◽  
Investment Value ◽  
Decision Making Problem ◽  
Animal Wastes ◽  
Total Investment

In this study, biogas, compost and vermicompost plant location selection problem, and the optimal order of the facilities planned to be established are considered as a multi-criteria decision making problem. This study was carried out in order to determine the optimal suitability of biogas, compost and vermicompost (worm manure) production facilities obtained from pre-feasibility study in order to determine and evaluate the animal and slaughterhouse wastes that were exposed in Yozgat region. The facilities included in the ranking were determined within the scope of the in Pre-Feasibility and Investment Conformity Study Project for Recycling of Animal Wastes in the TR72 Region Sır. The total investment amount to be established in Yozgat province is $249.9 million and 15 biogas which can generate 69 MW / hour of electricity with an income of 149 million dollars / year. 11 compost production centres with a total investment value of $7 million and revenue of $4.4 million / year; Optimum ordering of 3 production centre facilities with a total investment value of 1.7 million dollars and a revenue of 1.9 million dollars / year and a total of 2.746 tons / year vermicompost was made. Ordering was performed using ARAS and COPRAS methods. The first three sequences proposed in the ranking of clusters of facilities that can be established are as follows; biogas clusters 8, 11 and 15; compost clusters 5, 9, 3; vermicompost sets 2, 1 and 3.

Decision Analysis on Choquet Integral-Based Multi-Criteria Decision-Making with Imprecise Information

2018 ◽  
Vol 17 (02) ◽  
pp. 677-704 ◽  
Author(s):  
Meimei Xia ◽  
Jian Chen ◽  
Xiao-Jun Zeng
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Choquet Integral ◽  
Real Life ◽  
Multi Criteria Decision Making ◽  
Precise Information ◽  
Imprecise Information ◽  
Decision Making Problem ◽  
Criteria Weights ◽  
Negative Interactions

The uncertain multi-criteria decision-making problem is investigated, where the information about criteria weights and criteria evaluations is imprecise and there exist interactions between criteria. In real-life multi-criteria decision-making problems, there often exist positive or negative interactions between criteria, and it is also difficult to obtain the precise information about criteria weights and criteria evaluations. However, most of the existing multi-criteria decision-making methods only focus on one of these two issues, which often co-exist in practice. To address such a gap in the existing research, Choquet integral is firstly employed to aggregate the imprecise information of alternatives to reflect the interactions between criteria. Based on the regret values between pairs of alternatives with imprecise information, four types of best alternative concepts are defined from the perspectives of optimism and pessimism, respectively, and four corresponding optimal models are established to identify such best alternatives. By comparing the proposed methods with the existing ones, it is showed that the proposed methods not only give a complete decision analysis, but also have better distinguishability by considering the interactions between criteria. These methods are then extended to identify the worst alternatives.

scholarly journals Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

2021 ◽  
Vol 10 (6) ◽  
pp. 403
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Decision Making ◽  
Clustering Algorithm ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

scholarly journals SOLUTION OF A MULTI-CRITERIA DECISION- MAKING PROBLEM ON BASE OF PROMETHEE METHOD

2020 ◽  
Author(s):  
Salimov Vagif Hasan Oglu
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Preference Function ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Job Selection ◽  
Decision Making Problem ◽  
Practice Problem ◽  
Promethee Method ◽  
Large Groups

Multi criteria decision making problem was considered. Review of existing multi criteria decision making methods was presented. Methods of solving this problem can be divided into two large groups: methods using the aggregation of all alternatives according to all criteria and the solution of the obtained one-criterion problem, the second group is associated with the procedure of pairwise comparisons. Promethee method have been considered with details. This method is based on the pairwise comparison of alternatives and specific aggregation procedures. The preference function are considered for minimization and maximization cases. As practice problem the job selection is considered. Three important criteria are used: salary, time, risk. The results of all computations are presented.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Modeling Knowledge Employee’s Turnover Based on P-SVM

2010 ◽  
Vol 121-122 ◽  
pp. 825-831
Author(s):  
Yong Zhao ◽  
Ye Zheng Liu
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Model Development ◽  
Forecast Model ◽  
Support Vector ◽  
Multi Criteria Decision Making ◽  
Parameters Selection ◽  
Vector Machines ◽  
Decision Making Problem ◽  
Simulation Results

Knowledge employee’s turnover forecast is a multi-criteria decision-making problem involving various factors. In order to forecast accurately turnover of knowledge employees, the potential support vector machines(P-SVM) is introduced to develop a turnover forecast model. In the model development, a chaos algorithm and a genetic algorithm (GA) are employed to optimize P-SVM parameters selection. The simulation results show that the model based on potential support vector machine with chaos not only has much stronger generalization ability but also has the ability of feature selection.

scholarly journals Establishing a Sustainable Sports Tourism Evaluation Framework with a Hybrid Multi-Criteria Decision-Making Model to Explore Potential Sports Tourism Attractions in Taiwan

2020 ◽  
Vol 12 (4) ◽  
pp. 1673 ◽  
Author(s):  
Jen-Jen Yang ◽  
Huai-Wei Lo ◽  
Chen-Shen Chao ◽  
Chih-Chien Shen ◽  
Chin-Cheng Yang
Keyword(s):  
Decision Making ◽  
Evaluation Framework ◽  
Government Support ◽  
Multi Criteria Decision Making ◽  
Practical Applications ◽  
Proposed Model ◽  
Sports Tourism ◽  
Criteria Weights ◽  
Tourism Attractions ◽  
Multiple Experts

In recent years, the awareness of sustainable tourism has risen around the world. Many tourism industries combine sports to attract more customers to facilitate the development of the economy and the promotion of local culture. However, it is an important task to establish a comprehensive tourism evaluation framework for sustainable sports tourism. This study proposes a Multi-Criteria Decision-Making (MCDM) model to discuss the above issues, using the Bayesian Best Worst Method (Bayesian BWM) to integrate multiple experts’ judgments to generate the group optimal criteria weights. Next, the modified Visekriterijumska Optimizacija i Kompromisno Resenje (VIKOR) technique is combined with the concept of aspiration level to determine the performance of sports attractions and their priority ranks. In addition, this study adds a perspective of institutional sustainability to emphasize the importance of government support and local marketing. The effectiveness and robustness of the proposed model is demonstrated through potential sports tourism attractions in Taiwan. A sensitivity analysis and models comparison were also performed in this study. The results show that the proposed model is feasible for practical applications and that it effectively provides some management implications to support decision-makers in formulating improvement strategies.

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