scholarly journals Assessment of combating-desertification strategies using the linear assignment method

Solid Earth ◽  
2016 ◽  
Vol 7 (2) ◽  
pp. 673-683 ◽  
Author(s):  
Mohammad Hassan Sadeghravesh ◽  
Hassan Khosravi ◽  
Soudeh Ghasemian
Keyword(s):  
Decision Making ◽  
Groundwater Resources ◽  
Plant Cover ◽  
Optimal Strategies ◽  
Degraded Lands ◽  
Assignment Method ◽  
Multi Attribute Decision Making ◽  
Combating Desertification ◽  
And Control ◽  
Linear Assignment

Abstract. Nowadays desertification, as a global problem, affects many countries in the world, especially developing countries like Iran. With respect to increasing importance of desertification and its complexity, the necessity of attention to the optimal combating-desertification alternatives is essential. Selecting appropriate strategies according to all effective criteria to combat the desertification process can be useful in rehabilitating degraded lands and avoiding degradation in vulnerable fields. This study provides systematic and optimal strategies of combating desertification by use of a group decision-making model. To this end, the preferences of indexes were obtained through using the Delphi model, within the framework of multi-attribute decision making (MADM). Then, priorities of strategies were evaluated by using linear assignment (LA) method. According to the results, the strategies to prevent improper change of land use (A18), development and reclamation of plant cover (A23), and control overcharging of groundwater resources (A31) were identified as the most important strategies for combating desertification in this study area. Therefore, it is suggested that the aforementioned ranking results be considered in projects which control and reduce the effects of desertification and rehabilitate degraded lands.

scholarly journals Assessment of combating desertification strategies using the linear assignment method

2016 ◽  
Author(s):  
M. H. Sadeghravesh ◽  
H. Khosravi ◽  
S. Ghasemian
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Plant Cover ◽  
Optimal Strategies ◽  
Degraded Lands ◽  
Assignment Method ◽  
Multi Attribute Decision Making ◽  
Combating Desertification ◽  
Decision Making Model ◽  
Linear Assignment

Abstract. Select appropriate strategies according to all effective criteria in combating desertification process can be so useful in controlling and rehabilitation of degraded lands, and avoid degradation in vulnerable fields. This study provides systematic and optimal strategies of combating desertification by group decision-making model. To this end, in the framework of Multi Attribute Decision Making (MADM) and by using Delphi model (Delphi), the preferences of indexes were obtained. Then priorities of strategies were evaluated by using linear assignment (LA) method. According to the results, the strategies to prevent improper change of land use (A18), development and reclamation of plant cover (A23) and adjustment for harvesting from groundwater sources (A31), respectively were identified as the most important strategies for combating desertification in this study area. Therefore, it was suggested to consider ranking results in projects which controls and reduces the effects of desertification and rehabilitates degraded lands.

Selection of Most Proper Blasting Pattern in Mines Using Linear Assignment Method: Sungun Copper Mine / Wybór Najodpowiedniejszego Schematu Prowadzenia Prac Strzałowych W Kopalni Miedzi Sungun Z Użyciem Metody Przyporządkowania Liniowego

2015 ◽  
Vol 60 (1) ◽  
pp. 375-386
Author(s):  
Mojtaba Yari ◽  
Raheb Bagherpour ◽  
Saeed Jamali ◽  
Fatemeh Asadi
Keyword(s):  
Decision Making ◽  
Pattern Selection ◽  
Copper Mine ◽  
Technical Parameters ◽  
Sungun Copper Mine ◽  
Blasting Pattern ◽  
Assignment Method ◽  
Correct Pattern ◽  
Multi Attribute Decision Making ◽  
Linear Assignment

Abstract One of the most important operations in mining is blasting. Improper design of blasting pattern will cause technical and safety problems. Considering impact of results of blasting on next steps of mining, correct pattern selection needs a great cautiousness. In selecting of blasting pattern, technical, economical and safety aspects should be considered. Thus, most appropriate pattern selection can be defined as a Multi Attribute Decision Making (MADM) problem. Linear assignment method is one of the very applicable methods in decision making problems. In this paper, this method was used for the first time to evaluate blasting patterns in mine. In this ranking, safety and technical parameters have been considered to evaluate blasting patterns. Finally, blasting pattern with burden of 3.5 m, spacing of 4.5 m, stemming of 3.8 m and hole length of 12.1 m has been presented as the most suitable pattern obtained from linear assignment model for Sungun Copper Mine.

scholarly journals A BI-OBJECTIVE SCORE-VARIANCE BASED LINEAR ASSIGNMENT METHOD FOR GROUP DECISION MAKING WITH HESITANT FUZZY LINGUISTIC TERM SETS

2018 ◽  
Vol 24 (3) ◽  
pp. 1125-1148 ◽  
Author(s):  
Seyed Hossein RAZAVI HAJIAGHA ◽  
Meisam SHAHBAZI ◽  
Hannan AMOOZAD MAHDIRAJI ◽  
Hossein PANAHIAN
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Makers ◽  
Assignment Method ◽  
Linguistic Term ◽  
Criteria Weights ◽  
Individual Evaluation ◽  
Fuzzy Linguistic ◽  
Linear Assignment

Decision makers usually prefer to express their preferences by linguistic variables. Classic fuzzy sets allowed expressing these preferences using a single linguistic value. Considering inevitable hesitancy of decision makers, hesitant fuzzy linguistic term sets allowed them to express individual evaluation using several linguistic values. Therefore, these sets improve the ability of humans to determine believes using their own language. Considering this feature, in this paper a method upon linear assignment method is proposed to solve group decision making problems using this kind of information, when criteria weights are known or unknown. The performance of the proposed method is illustrated in a numerical example and the results are compared with other methods to delineate the models efficiency. Following a logical and well-known mathematical logic along with simplicity of execution are the main advantages of the proposed method.

scholarly journals Analysis of the Practice of Dengue Prevention and Sustainable Control with Multi-attribute Decision-making

2020 ◽  
Author(s):  
Shen-Tsu Wang ◽  
Meng-Hua Li ◽  
Chun-Chi Lien ◽  
Wan-Ching Cho
Keyword(s):  
Decision Making ◽  
Dengue Fever ◽  
City Government ◽  
Human Communication ◽  
Remediation Strategies ◽  
Before And After ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Dengue Prevention ◽  
And Control

Abstract Dengue fever is one of the most common insect-borne diseases in the world, and epidemics mostly occur in tropical and subtropical regions. In the past, the grey multi-attribute decision-making method has been combined with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to predict which areas in southern Tainan may easily trigger dengue epidemics. As many studies have shown that the extent of human communication and active government is crucial in dengue prevention, this study aims to propose dengue prevention and control methods before and after the occurrence of dengue cases. This study found that, when dengue fever cases begin to appear, the relevant county and city government departments must hire vector control companies to carry out regional indoor and outdoor spraying. Before the emergence of dengue cases, the green and sustainable-oriented remediation strategies, as promoted by the Environmental Protection Administration (EPA), can be adopted. Remediation of soil and groundwater pollution sites can reduce the source of vector mosquitoes, in order that the green environment can achieve sustainable development.

A new algorithm for mutual funds evaluation based on multiple attribute decision making techniques

Kybernetes ◽  
2016 ◽  
Vol 45 (8) ◽  
pp. 1194-1212 ◽  
Author(s):  
Reza Alibakhshi ◽  
Mohammad Reza Sadeghi Moghadam
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Mutual Funds ◽  
Multiple Attribute Decision Making ◽  
Content Type ◽  
Assignment Method ◽  
Multiple Attribute ◽  
Wide Range ◽  
Points Of View ◽  
Linear Assignment

Purpose The purpose of this paper is to consider compromise solutions of multiple attribute decision-making methods (TOPSIS, VIKOR, and similarity-based approach) in order to evaluate and rank mutual funds and to compare the capabilities of different approaches based on the different traditional indices of mutual funds assessment. In addition, a new algorithm for ranking mutual funds was proposed subsequently. Design/methodology/approach In this research, three groups of indices including general, risk-modified performance evaluation, and risk-modified performance evaluation indices using semivariance were used in the mutual funds assessment, which led to the comparison between selected mutual funds, using three mentioned methods and three different groups of criteria. The results of this comparison were compiled and synthesized with linear assignment method. At the end, an algorithm for decision making and investing in mutual funds for professional and unprofessional investors was proposed. Findings Using different methods and different criteria proved that the results of similarity-based approach as a MADM technique have the ability to rank and evaluate mutual funds regardless of the criteria used compared to TOPSIS and VIKOR. Furthermore, the authors propose the algorithm of this research as a new model of mutual funds evaluation which considers a wide range of variables with respect to amateur and professional points of view. Originality/value The originality of this paper is threefold: first, different criteria were considered to make the evaluation more comprehensive. Second, four different approaches were used to make the results more authentic. Third, a holistic algorithm with its implication was proposed.

Multiple attribute decision making method based on DEMATEL and fuzzy distance of trapezoidal fuzzy neutrosophic numbers and its application in typhoon disaster evaluation

2020 ◽  
Vol 39 (3) ◽  
pp. 3413-3439 ◽  
Author(s):  
Ruipu Tan ◽  
Wende Zhang
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Fuzzy Distance ◽  
Attribute Weights ◽  
Assignment Method ◽  
Multiple Attribute ◽  
Disaster Assessment ◽  
Decision Making Processes ◽  
Multi Attribute Decision Making ◽  
Typhoon Disaster

 Trapezoidal fuzzy neutrosophic decision making plays an important role in decision-making processes with uncertain, indeterminate, and inconsistent information. In this paper, we propose a new multi-attribute decision-making method based on decision-making trial and evaluation laboratory (DEMATEL), fuzzy distance, and linear assignment method (LAM), and we express evaluation values as the trapezoidal fuzzy neutrosophic numbers (TrFNNs). First, attribute weights are obtained using the DEMATEL method and the new fuzzy distance of TrFNNs based on graded mean integration representation is defined. Then, alternatives are ranked using the LAM in operations research. In addition, we make two comparative analyses in the end to illustrate the feasibility and rationality of our method. Finally, an illustrative example about typhoon disaster assessment is presented to show the advantages of the proposed method.

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