MODELING LANDFILL SUITABILITY BASED ON MULTI-CRITERIA DECISION MAKING METHOD

In this paper, we introduce an improved neutrosophic decision making algorithm for choosing the appropriate provider according the organization needs. The algorithm is used to rank the cloud computing providers according the requirements of the customers. The improved neutrosophic decision making method allows the degree of satisfaction, non un-satisfaction and indeterminacy of each alternative with respect to a set of criteria to be represented by neutrosophic sets, respectively. It allows the decision maker to assign and adjust the degree of satisfaction, un-satisfaction, and indeterminacy of the criteria to a vague concept .importance of criteria

Abstract: Multi-criteria decision making (MCDM) is a powerful operational model which are used to resolve decision making problems on the basis of different decision criteria. This approach has been widely used in many application fields by the decision makers to solve their problems. Although there exists different MCDM methods but the basic principle of MCDM method involves selection of criteria, selection of alternatives, selection of aggregation methods and weight criteria using these methods and finally evaluation of a set of alternatives performed based on criteria weights. This study presents a small description on the working principle and different methods of a Multi-criteria decision making and furthermore provides survey on their application in different fields.

The closeness of the correlation coefficient value (example, 0.9526), ranging between -1 to 1, in approximation to unity indicates complete dependency and reliability of either of the methods used. The dependency reduces with each unit reduction in the coefficient value. The negative sign indicates reverse trend existing between the two methods i.e. the rank value increasing in one method shall be declining under the second method in comparison. The inter-relationship between the MCDM methods is analyzed through correlation matrix using (7) as shown in Tables VII and VIII. It is found that AHP and TOPSIS show maximum Correlation value i.e. 0.9535 in Scenario 1 (Table VII) and 0.9526 in Scenario 2 (Table VIII), indicating the strongest correlation, as the values are generously high. Thus, it can be concluded that in this web service selection problem, AHP and TOPSIS can be used effectively for making similar types of decisions. All other combinations show positive correlation except COPRAS and VIKOR. These findings hold true for both scenarios of 50 as well as 100 web services.

For a wind power station design, the choice of the most effective wind turbine is of extreme significance as the expenses of the wind turbines comprise the biggest percentage of the wind power station’ total cost. It can definitely be manufactured after the necessary calculations in detail. The index of wind energy is able to help perform a wind turbine comparison for a specific area to back the selection process of the most appropriate wind turbine [7, 8].For a wind power station, the multi-criteria decision making methodology is essential for making the best decision and appraising various wind turbine brands.In the related literature, it can be seen that there are many papers concerning applications of multi-criteria decision making methods on wind energy station and wind power project planning. The frequently used multi-criteria methods for the assessment are VIKOR, AHP, TOPSIS, ELECTRE, and ANP.All of these methods supply solutions to the systems containing conflicting and multiple objectives. A comparison of the chosen turbines gives a true insight for the best choice among the brands considered with used method [9]. In the last years, researchers have begun to focus on theevolution of equipment related to the sustainable energy.Janke applied multi-criteria decision making and Geographical Information Systems for wind farms site selection [10]. Charabi and Al-Yahyai analyzed site suitability for wind station by using a fuzzy multi-criteria method and local weather conditions [11]. Minguez et al. analyzed the appropriate selection of the most suitable support structures’ options for 5.5 MW wind turbine with TOPSIS. They determined the system effectiveness by considering economical, engineering and environmental attributes [12].Xiong and Wang used ELECTRE-TRI and lexicographic order methods for the solution

Abstract. Although the Fuzzy Analytic Hierarchy Process is one Multi-Criteria Decision Making techniques, it does not consider the reliability of information. The Z-number contains both uncertain variable and its reliability, which has been applied to uncertain environment including decision making, risk assessment, linear programming etc. In this paper, a new method of Multi Criteria Decision Making based on Z-number and Fuzzy Analytic Hierarchy Process is proposed, where the evaluation of each alternative with respect to each criterion is described as a Z-number, including both the evaluation and its reliability from evaluators. Finally, a practical example illustrates the steps and effectiveness of the method.

Abstract. Although the Fuzzy Analytic Hierarchy Process is one Multi-Criteria Decision Making techniques, it does not consider the reliability of information. The Z-number contains both uncertain variable and its reliability, which has been applied to uncertain environment including decision making, risk assessment, linear programming etc. In this paper, a new method of Multi Criteria Decision Making based on Z-number and Fuzzy Analytic Hierarchy Process is proposed, where the evaluation of each alternative with respect to each criterion is described as a Z-number, including both the evaluation and its reliability from evaluators. Finally, a practical example illustrates the steps and effectiveness of the method.

Our approach for validation of the project starts with selection of a project to assess the effectiveness of the method. After careful analysis, we have decided to take “Library Management System” as the pilot project. The standard set of requirements was identified after having done a detailed literature survey on the topic. In order to ascertain the effectiveness of the proposed method, we have associated ourselves with a web based development company. The project manager of the company was asked to do the project using his own view. In order to standardize it has been planned to have working hours from 9:00 AM to 4:00 PM with a break of 1 ½ hours lunch break in between. Also, after having discussion, it has been decided to use Visual Basic as front end and Ms– Access as backend. The results were recorded that include the number of days taken for completion, number of Lines of Code and customer satisfaction.

[5] combined with variable precision rough set and AHP for group decision-making. Guo and Zhang [6] integrated VIKOR and rough set theory in supplier selection. Li et al. [7] proposed an integrated model by combining with Kano's model, rough set and AHP to rank customer requirements importance. Aydogan [8] presented a hybrid rough-AHP and TOPSIS methods. Wang et al. [9] applied interval rough numbers in dealing with uncertainty when determining weight coefficients of decision attributes. Roy et al. [10] presented a hybrid rough-AHP and MABAC methods. This paper presents a novel three different Multi-Criteria Decision Making (MCDM) methods with rough interval; Rough Interval Operational Competitiveness Rating Analysis (RIOCRA), Rough Interval Multi Objective and Optimization on the basis of Ratio Analysis (RIMOORA) and Rough Interval Additive Ratio Assessment (RIARAS). The three methods are used to choose the best alternative among the various alternatives under the rough interval condition. The Subjective and Objective Weight Integrated Approach (SOWIA) method was presented to determine the weight of each evaluation criterion. Because of disagreement in the ranks obtained by the three different MCDM methods; a final ranking method based on REGIME method is given.

The suitability map for rice cultivation was prepared in the present research through the GIS-based FAHP method. The properties of the soil, topography, cli- mate, and accessibility were determined as the main criteria for determining the suitability with regard to the expert opinion and the previous literature. This map was then compared with the existing land use map of the study region. The results show that the regions entitled highly suitable and suitable have already largely been under cultivation.

Abstract In the global environment decision makers should considers several aspects. Some of them have contradicted influence, and some aspects are not comparable to others. It leads decision-makers to limited ability of judgment between several aspects. Moreover, in a vibrant world, where technological changes occur in small intervals over time, the considerations of decision makers are changing frequently and dramatically. Thus, decision makers cannot adjust their decision mechanism instantly. This leads us to the need to better understand human decision process. This research presents a new extension of the Information Structure model, which is built using a normative approach in order to understand the mechanisms of multi-criteria decision-making (MCDM) processes. A consequent analysis explains decision-making behavior under the assumptions of bounded rationality. The analysis deals with decision situations, in which it is assumed that a decision-maker cannot formulate a joint utility function constituted from different criteria, which are completely or partially inestimable (intangible). Moreover, the model demonstrates problematic issues of MCDM processes; for example, when the improvement of a service paradoxically leads to a decline in a firm's market share. The model enables implementation of the general informativeness ratio between information structures to such environments. The model is based on the assumption of Bounded-Rationality, that a decision process takes several criteria into account, and handles with a decision-maker that cannot formulate a joint utility function constituted from different criteria. The results of the analysis after applying the model suggest that an optimal solution cannot be obtained; thus, a different approach is proposed – that of optimization subject to rational satisfaction. This approach can be implemented, for example in the design stage of decision support systems (DSS). The method may be implemented for decision situations, in which intangible decision criteria are taken into consideration.

Geographic information system (GIS) and multi-criteria decision making methods are represented powerful and integrated tools used to solve the prob- lem of selecting sites for landfill. GIS plays an important role for selecting a site for landfill. It reduces time and cost in the process of landfill siting, as well as having a high capability to manage large volumes of data from variety of sources. Multi criteria decision methods (MCDA) often help decision-makers to handle the large amount of complex information [2] [10] [11]. Analytical hierarchy process (AHP) and SRS (straight rank sum) are considered as examples of such methods. AHP was developed originally by Saaty [12] in 1980 to derive the weights of criteria using pair wise comparison matrix. SRS is considered one of the multi criteria making methods, where this method was adopted on giving the weights for criteria directly [13].

The traditional threshold selection method uses graphical diagnostics to make an initial threshold choice. The mean residual life (MRL) [15] method chooses the lowest level as the threshold because the mean exceedance over a level u is a linear function of the level u. The hill plot [16] method prefers the largest value of the hill estimator after it becomes stabilized, which means the lowest data would be chosen as the threshold. The advantage of these two approaches is that the results can be graphically inspected and assessed. The subjectivity and the rich experience are required in these methods.

Many of the recent developments in the Aerospace and Nuclear Engineering industries are partly due to the increasing use of difficult – to – machine materials. Many of these materials also find application in other industries owing to their high strength- to weight ratio, hardness and heat resisting qualities. Non-traditional machining (NTM) processes have been developed over the past few decades. These processes are capable of generating intricate and complex shapes with high degree of accuracy, close dimensional tolerance and better surface finish. The right choice of the most appropriate NTMP is critical to the success and competitiveness of a manufacturing company. Selection of the most appropriate NTMP for a given machining application can be viewed as a multi criteria decision making process. This paper focuses on additive ratio assessment (ARAS)- based method dealing for the selection non-conventional machining processes for the machining of complex shapes. A complete list of all the non-conventional machining process from the best to the worst is obtained, taking into account multi-conflicting machining of various attributes. To obtained complete ranking performance of the non-conventional process.

For nearly a quarter century, tributyltin (TBT)-based self-polishing copolymer antifouling paints have provided an efficient and economic method of ship hull protection. The process involved slow and controlled release of the biocide as the link hydrolysed on contact with seawater, at the paint’s surface. These

Chapter 2 represents the principal concepts, basic theories and reviews of the previous proposed researches through literature reviews. The reviews consist of decision making, AHP modeling, group decision making process, portfolio management and risk management. The methodology of doing the study and the overall concepts of the methods used in this study are described in Chapter 3. AHP is used to base the concept of the study; hierarchy of the model is refined based on nominal process.

The GIS-based MCDA approach in land suitability analysis is advocated technically to identify suitable land and sustainable accessibility for hillside development. Pair-wise comparison matrix was constructed using AHP method and priority weights were calculated in Expert Choice decision analysis software. This technique can also apply to various decisions analysis fields, and Expert choice software should be applied widely in the future land use planning. This research can assist the researchers, experts and development organizations in incorporating their policy as a development model. The advantages of an integrated GIS are the development of a coherent framework for the land suitability analysis methods than hitherto such as MCA for developing countries. This study can also be strength to a new approach for decision-makers, reducing future environmental hazards on the hillside development. However, it is a sustainable approach; we understand and take measures at early stages to control the cost of inhabitants and the country in terms of landslides. In addition, accessibility provides a key role in the economic development of any region. Unplanned road network can be harmful to the economy and environment.

Landfill site selection is performed for Al-Mahaweelqadaa by using Multicriteria Decision Analysis (MCDA) and Geographic Information System (GIS). Several criteria were considered (Urban centers, Land use, Airports, Pipes, Power lines, Railways, Roads, slope, streams, Surface water, Industrial areas, Oil pipes, Liquid gas pipes, Soil types) to select a proper site. MCDA was used to measure and evaluate the relative importance weighting of each criterion. Each map layers were formed with the aid of GIS and final suitability map was created by over- lay analyses of each criterion map. Field visits were conducted to check the selected site. In addition, the ex- pected solid waste volume for the coming five years was calculated to make sure that the selected site can oc- cupy this volume.

Abstract — In this paper, a new extended method of multi criteria decision making based on fuzzy-Topsis theory is introduced. Mostly, it is not possible to gather precise data, so decision making based on these data loses its efficiency. The fuzzy theory has been used to overcome this draw back. In multi-criteria decision making, criteria can correlate with each other, most of which are ignored in classic MCDM. In this paper, correlation coefficient of fuzzy criteria has been studied to adapt the interrelation between criteria and a new algorithm is proposed to obtain decision making. Finally the efficiency of suggested method is demonstrated with an example.

In this paper, we explain the value of both Trapezoidal and Triangular Fuzzy Numbers and develop a new ranking method based on the value of fuzzy number which in turn will be very helpful in decision making situations. Then we propose a Multi Criteria Decision Making (MCDM) Model based on the proposed ranking method. Arithmetic mean operation of fuzzy numbers is used for aggregating experts’ judgments.

Nowadays industries are aiming to reduce lead time of the new product development. In this regard, they are using to adapt a lot of manufacturing methodologies like concurrent engineering, lean manufacturing and agile manufacturing in their design process. In order to select a suitable manufacturing method, in this paper an attempt has been made by using Analytical Hierarch Process (AHP) a multi criteria decision making model. The result of AHP shows that concurrent Engineering is most suitable for developing a new concept hydraulic motor for marine application. Among the various approaches of concurrent engineering, CAD based approach is used to design, develop, redesign and analyze the new hydraulic motor.