Method for Group Decision-Making of Multi-Stakeholders with Category Preference on Alternatives

Dai Quan-chen,Zhu Jian-jun,Zhang Shi-tao 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8

This paper studies the issue of decision making on some alternatives with category preference of multiple decision makers in which interest conflicts exist and the weights are unknown. It puts forward the method to firstly calculate the attribute weight in each decision maker’s circumstance through case-based learning and thus meet subjective preferences of different decision makers. Considering the interest conflicts between multiple decision makers, the fuzzy set theory is then used to optimize the weight of each decision makers to comply with objective requirements of group decision-making process. Finally, the total order relation of the alternative which does not only conform to the subjective preference information of the decision maker but also consist with the objective fact of group decision-making is obtained based on the calculation result of overall off-target distance for the alternative. The case indicates application procedures and method feasibility.

Multiple Attribute Group Decision Making Problems Based on Fuzzy Number Intuitionistic Fuzzy Information

Jin Han Park,Young Chel Kwun,Jong Seo Park 한국지능시스템학회 2009 한국지능시스템학회논문지 Vol.19 No.2

Fuzzy number intuitionistic fuzzy sets (FNIFSs), each of which is characterized by a membership function and a non membership function whose values are trigonometric fuzzy number rather than exact numbers, are a very useful means to describe the decision information in the process of decision making. Wang [10] developed some arithmetic aggregation operators, such as the fuzzy number intuitionistic fuzzy weighted averaging (FIFWA) operator, the fuzzy number intuitionistic fuzzy ordered weighted averaging (FIFOWA) operator and the fuzzy number intuitionistic fuzzy hybrid aggregation (FIFHA) operator. In this paper, based on the FIFHA operator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as fuzzy number intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuition is tic fuzzy numbers, and the information about attribute weights is partially known. An example is used to illustrate the applicability of the proposed approach.

Multiple Attribute Group Decision Making Problems Based on Fuzzy Number Intuitionistic Fuzzy Information

박진한,권영철,박종서 한국지능시스템학회 2009 한국지능시스템학회논문지 Vol.19 No.2

Fuzzy number intuitionistic fuzzy sets (FNIFSs), each of which is characterized by a membership function and a non-membership function whose values are trigonometric fuzzy number rather than exact numbers, are a very useful means to describe the decision information in the process of decision making. Wang[10] developed some arithmetic aggrega tion operators, such as the fuzzy number intuitionistic fuzzy weighted averaging (FIFWA) operator, the fuzzy number intuitionistic fuzzy ordered weighted averaging(FIFOWA) operator and the fuzzy number intuitionistic fuzzy hybrid ag-gregation (FIFHA)operator. In this paper, based on the FIFH Aoperator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by thedecision-makers is presented as fuzzynum-ber intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuitionistic fuzzy numbers, and the information about attribute weights is partially known. An example is used to illustrate the applicability of the proposed approach.

Evaluation criterion for different methods of multiple-attribute group decision making with interval-valued intuitionistic fuzzy information

( Junda Qiu ),( Lei Li ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.7

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts’ preferences, aggregation of experts’ opinions, and comparison of the alternatives. Experts’ preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts’ preferences with IVIFN is presented. In this approach, experts’ preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

Multiple Attribute Group Decision Making Problems Based on Fuzzy Number Intuitionistic Fuzzy Information

Park, Jin-Han,Kwun, Young-Chel,Park, Jong-Seo Korean Institute of Intelligent Systems 2009 한국지능시스템학회논문지 Vol.19 No.2

Fuzzy number intuitionistic fuzzy sets (FNIFSs), each of which is characterized by a membership function and a non-membership function whose values are trigonometric fuzzy number rather than exact numbers, are a very useful means to describe the decision information in the process of decision making. Wang [10] developed some arithmetic aggregation operators, such as the fuzzy number intuitionistic fuzzy weighted averaging (FIFWA) operator, the fuzzy number intuitionistic fuzzy ordered weighted averaging (FIFOWA) operator and the fuzzy number intuitionistic fuzzy hybrid aggregation (FIFHA) operator. In this paper, based on the FIFHA operator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as fuzzy number intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuitionistic fuzzy numbers, and the information about attribute weights is partially known. An example is used to illustrate the applicability of the proposed approach.

Multiple Attribute Group Decision Making Problems Based on Fuzzy Number Intuitionistic Fuzzy Information

박진한,박용범,박종서 한국지능시스템학회 2008 한국지능시스템학회 학술발표 논문집 Vol.18 No.2

In this paper, based on the FIFHA operator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as fuzzy number intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuitionistic fuzzy numbers, and the information about attribute weights is partially known.

의사결정이론을 이용한 박판성형공정의 최적화

김경모(Kyung-Mo Kim),인정제(Jeong-Je Yin) 한국기계가공학회 2012 한국기계가공학회지 Vol.11 No.2

Wrinkle and fracture are two major defects frequently found in the sheet metal forming process. In this process there are more than one design attributes to optimize and several uncontrollable factors which cannot be ignored in determining the optimal values of design variables. Therefore, attempts to reduce defects through a traditional optimization technique are often led to failures. In this research, a new design method for reducing the wrinkle and fracture under uncontrollable factors is presented by using decision-making theory. To avoid the psychological difficulties in determining the scaling constants of the multi-attribute utility function by using the ordinary lottery questions, a pair-wise comparison procedure is adapted to avoid this problem. The effectiveness of the proposed method is illustrated through a robust design of sheet metal forming process of a side member of an automotive body.

Nanofluid selection used for coolant in heat exchanger by multiple attribute decision-making method

M. B. Maisuria,D. M. Sonar,M. K. Rathod 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.2

Nanofluids are suspensions of nanosized nanoparticles in the base fluid which shows superior performance in heat transfer applications. As different nanoparticles have different characteristics, thus the selection of a proper nanoparticle for a given application becomes a very crucial task. Thus, the selection of nanoparticle has to be performed in such a manner that it will give a maximum thermal performance that to at least cost. This study involves the multiple attribute decision-making (MADM) method to select optimal metal oxide nanoparticles. In the present method, to determine the weights of different attributes considered, the analytical hierarchy method (AHP) is used and then to obtain the final ranking, a technique for order preference by similarity to ideal solution (TOPSIS) is used. In the present study, the problem regarding the selection of suitable nanoparticle for heat exchanger applications is discussed. The most studies nanomaterials i.e., CuO, Al 2 O 3 , TiO 2 , SiO 2 , ZnO, Fe 2 O 3 are considered with different attributes. It is found that copper oxide (CuO) and aluminum oxide (Al 2 O 3 ) is the first-best and second-best alternatives, respectively. Empirical results obtained prove that this is a feasible approach to solving the nanoparticle selection problem.

전문가 설문에 의한 AHP 가중치 산출의 적용한계에 관한 연구

김웅이 ( Woong Yi Kim ),김도현 ( Do Hyun Kim ),최연철 ( Yun Chul Choi ) 한국항공운항학회 2010 한국항공운항학회지 Vol.18 No.3

The AHP methodology compares criteria, or alternatives with respect to a criterion, in a natural, pairwise mode. AHP has been applied in a wide variety of applications multi objective decision making being just one. If a group of expert with different aspect, they need someway to revise expert group. We proposed the concatenation of expert to survey the AHP pairwise question for multi-attribute decision making. In this paper, we suggest a way to revise the expert`s priorities in hierarch using concept of different group opinion.

Power aggregation operators on trapezoidal fuzzy multi-numbers and their applications to a zero-waste problem

Nuh Okumus,Davut Kesen 원광대학교 기초자연과학연구소 2024 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.27 No.2

In daily life, when conventional sets are insufficient in handling problems with multi-criterion, we use trapezoidal fuzzy multi-sets to solve decision-making problems in a lot of areas. Therefore, we introduce power aggregation operators on trapezoidal fuzzy multi-numbers as a novel way. By doing this, we aimed to introduce new operators on trapezoidal fuzzy multi-numbers which allow argument values to support each other in the aggregation process. Then, we described the properties of the operators and gave a formulation for the support function that is used in the operators. Moreover, we introduced two algorithms to solve multiple attribute group decision-making problems given with trapezoidal fuzzy multi-numbers. Lastly, we applied the introduced algorithms to a zero-waste problem to show the usage of the operators.