Deciding Endemic Area of Dengue Fever using Simple Multi Attribute Rating Technique Exploiting Ranks

Sari, Julia Purnama; Gernowo, Rahmat; Suseno, Jatmiko Endro

doi:10.1109/iciteed.2018.8534882

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…They use two types of relationships between alternatives-indifference and preference while excluding the incompatibility of variances. The most used methods from this group are AHP-Analytical Hierarchy Process, introduced by Saaty [108,109], ANP-Analytical Network Process [110], UTA-Utility Theory Additive [111], TOPSIS-a Technique for Order Preference by Similarity to the Ideal Solution [112][113][114], SMART-Simple Multi-Attribute Rating Technique [115]. The American school is also recognizable by VIKOR-VIseKriterijumska Optimizacija i kompromisno Resenje [116] and COPRAS-The COmplex PRoportional ASsessment [117] methods.…”

Section: Mcdm and Architectural Heritage Managementmentioning

confidence: 99%

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Milošević

Stanojević

et al. 2021

Mathematics

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For the past four decades, the methodology of fuzzy analytic hierarchy process based on fuzzy trapezoidal or triangular numbers with the linear type of membership functions has witnessed an expanding development with applicability to a wide variety of areas, such as industry, environment, education, government, economics, engineering, health, and smart city leadership. On the other hand, the interval gray analytic hierarchy process is a more practical method when a significant number of professionals have large variations in preferences and interests in complex decisions. The paper examines the management of architectural heritage in smart cities, using methods of multi-criteria decision making. Two appropriate methods generally recommended by the scientific literature have been applied: fuzzy and interval grey analytic hierarchy process. By using both techniques, there is an opportunity to analyze the consensual results from the aspect of two different stakeholder groups: architectural heritage experts and smart city development experts. Trapezoidal fuzzy analytical hierarchical process shows better stability than a triangular one. Both approaches assign priority to the strategy, but the interval approach gives a more significant rank to architectural heritage factors. The similarity of the proposed methods has been tested, and the similarity factor in the ranking indicates a high degree of similarity in comparing the reference rankings.

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Section: Mcdm and Architectural Heritage Managementmentioning

confidence: 99%

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Milošević

Stanojević

et al. 2021

Mathematics

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“…For example, the problem of estimating the level of staff discipline is solved in [15], the problem of estimation and ranking students based on their educational achievements is discussed in [16]. Study [17] addresses the problem of deciding on the use of alternative strategies in coping with Dengue fever. When applying these methods, experts must directly quantify the criteria "weights" which often causes difficulties for them.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Next, it is necessary to make sure that there is a function of the form (18) that "describes" ("approximates") the relation of order (17).…”

Section: Solving the Problem Of Structural And Parametric Identification Of The Estimation Modelmentioning

confidence: 99%

“…Next, let us consider for comparison a situation where the expert chose only the "best" alternative. In our case, taking into account (17), this means that from the expert's point of view, the alternative x 8 has an advantage over others, i.e. there is the following information: E6: x 8 ý{x 9 , x 4 , x 5 , x 7 , x 6 , x 3 , x 1 , x 2 , x 10 } and the following is obtained based on this information: (…”

Section: Verification Of the Constructed Mathematical Model Of Multicriterial Estimationmentioning

confidence: 99%

“…The learning subset: x 1 , x 2 , x 3 , x 4 , x 5 , x 6 , x 7 , x 8 ; the testing subset: x 9 , x 10. According to(17), the ordering relation takes the following form with no taking into accountx 9 and x 10 : E1: x 8 ýx 4 ýx 5 ýx 7 ýx 6 ýx 3 ýx 1 ýx 2 . The learning subset: x 1 , x 2 , x 3 , x 4 , x 6 , x 8 , x 9 , x 10 ; the testing subset: x 5 , x 7 .…”

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confidence: 99%

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Devising a method for identifying the model of multi-criteria expert estimation of alternatives

Петров

Кобзев²,

Orlov³

et al. 2021

EEJET

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An approach to constructing mathematical models of individual multicriterial estimation was proposed based on information about the ordering relations established by the expert for a set of alternatives. Structural identification of the estimation model using the additive utility function of alternatives was performed within axiomatics of the multi-attribute utility theory (MAUT). A method of parametric identification of the model based on the ideas of the theory of comparative identification has been developed. To determine the model parameters, it was proposed to use the midpoint method that has resulted in the possibility of obtaining a uniform stable solution of the problem. It was shown that in this case, the problem of parametric identification of the estimation model can be reduced to a standard linear programming problem. The scalar multicriterial estimates of alternatives obtained on the basis of the synthesized mathematical model make it possible to compare them among themselves according to the degree of efficiency and, thus, choose "the best" or rank them. A significant advantage of the proposed approach is the ability to use only non-numerical information about the decisions already made by experts to solve the problem of identifying the model parameters. This enables partial reduction of the degree of expert’s subjective influence on the outcome of decision-making and reduces the cost of the expert estimation process. A method of verification of the estimation model based on the principles of cross-validation has been developed. The results of computer modeling were presented. They confirmed the effectiveness of using the proposed method of parametric model identification to solve problems related to automation of the process of intelligent decision making.

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A New Coefficient of Rankings Similarity in Decision-Making Problems

Sałabun

Urbaniak

2020

Lecture Notes in Computer Science

129

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Deciding Endemic Area of Dengue Fever using Simple Multi Attribute Rating Technique Exploiting Ranks

Cited by 7 publications

References 11 publications

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Devising a method for identifying the model of multi-criteria expert estimation of alternatives

A New Coefficient of Rankings Similarity in Decision-Making Problems

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