A Novel Spherical Fuzzy Bi-Objective Linear Assignment Method and Its Application to Insurance Options Selection

2021 ◽  
pp. 1-31
Author(s):  
Seyed Amin Seyfi-Shishavan ◽  
Fatma Kutlu Gündoğdu ◽  
Yaser Donyatalab ◽  
Elmira Farrokhizadeh ◽  
Cengiz Kahraman
Keyword(s):  
Fuzzy Sets ◽  
Reliability And Validity ◽  
Assignment Method ◽  
Fuzzy Environment ◽  
Assignment Model ◽  
Objective Model ◽  
Negative Impacts ◽  
Constraint Method ◽  
Linear Assignment ◽  
Positive Impacts

Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of the membership, nonmembership, and hesitancy degrees must be at least zero and at most one. In this research, by extending the classical linear assignment method to bi-objective linear assignment and integrating it with cosine similarity measure, we presented a novel beneficial method for solving multiple criteria group decision-making problems in the spherical fuzzy environment. A new concept for weighting the criteria, which is composed of positive and negative impacts (weights), is introduced. The proposed bi-objective model tries to maximize positive impacts and minimize the negative impacts simultaneously. In order to solve the bi-objective linear assignment model, [Formula: see text]-constraint method is applied. Therefore, a trade-off solution is formed between maximizing positive impacts and minimizing negative impacts. The applicability and validity of the proposed method are shown through an insurance options selection problem. To test the reliability and validity of the proposed method, comparative and sensitivity analysis are performed.

scholarly journals Assignment model with multi-objective linear programming for allocating choice ranking using recurrent neural network

2021 ◽  
Author(s):  
Zahra Sadat Mirzazadeh ◽  
Javad Banihassan ◽  
Amin Mansoori
Keyword(s):  
Neural Network ◽  
Linear Programming ◽  
Recurrent Neural Network ◽  
Absolute Priority ◽  
Multi Objective ◽  
Assignment Method ◽  
Assignment Model ◽  
Decision Attributes ◽  
Linear Programming Problems ◽  
Linear Assignment

Classic linear assignment method is a multi-criteria decision-making approach in which criteria are weighted and each rank is assigned to a choice. In this study, to abandon the requirement of calculating the weight of criteria and use decision attributes prioritizing and also to be able to assign a rank to more than one choice, a multi-objective linear programming (MOLP) method is suggested. The objective function of MOLP is defined for each attribute and MOLP is solved based on absolute priority and comprehensive criteria methods. For solving the linear programming problems we apply a recurrent neural network (RNN). Indeed, the Lyapunov stability of the model is proved. Results of comparing the proposed method with TOPSIS, VICOR, and MOORA methods which are the most common multi-criteria decision schemes show that the proposed approach is more compatible with these methods.

A two-sided matching decision-making approach based on regret theory under intuitionistic fuzzy environment

2021 ◽  
pp. 1-18
Author(s):  
Xiang Jia ◽  
Xinfan Wang ◽  
Yuanfang Zhu ◽  
Lang Zhou ◽  
Huan Zhou
Keyword(s):  
Decision Making ◽  
Hamming Distance ◽  
Optimal Solution ◽  
Intuitionistic Fuzzy Sets ◽  
Regret Theory ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Objective Model ◽  
Single Objective

This study proposes a two-sided matching decision-making (TSMDM) approach by combining the regret theory under the intuitionistic fuzzy environment. At first, according to the Hamming distance of intuitionistic fuzzy sets and regret theory, superior and inferior flows are defined to describe the comparative preference of subjects. Hereafter, the satisfaction degrees are obtained by integrating the superior and inferior flows of the subjects. The comprehensive satisfaction degrees are calculated by aggregating the satisfaction degrees, based on which, a multi-objective TSMDM model is built. Furthermore, the multi-objective TSMDM model is converted to a single-objective model, the optimal solution of the latter is derived. Finally, an illustrative example and several analyses are provided to verify the feasibility and the effectiveness of the proposed approach.

scholarly journals DUAL HESITANT FUZZY AGGREGATION OPERATORS

2015 ◽  
Vol 22 (2) ◽  
pp. 194-209 ◽  
Author(s):  
Dejian YU ◽  
Wenyu ZHANG ◽  
George HUANG
Keyword(s):  
Human Resources ◽  
Fuzzy Sets ◽  
Geometric Mean ◽  
Arithmetic Mean ◽  
Aggregation Operators ◽  
Fuzzy Arithmetic ◽  
Hesitant Fuzzy Sets ◽  
Numerical Example ◽  
Fuzzy Environment ◽  
Fuzzy Aggregation

Dual hesitant fuzzy sets (DHFSs) is a generalization of fuzzy sets (FSs) and it is typical of membership and non-membership degrees described by some discrete numerical. In this article we chiefly concerned with introducing the aggregation operators for aggregating dual hesitant fuzzy elements (DHFEs), including the dual hesitant fuzzy arithmetic mean and geometric mean. We laid emphasis on discussion of properties of newly introduced operators, and give a numerical example to describe the function of them. Finally, we used the proposed operators to select human resources outsourcing suppliers in a dual hesitant fuzzy environment.

scholarly journals Mothers' cooking stress and family dining out : examining psychological influences and family dining out benefits on mothers' life satisfaction

2018 ◽  
Author(s):  
◽  
Kathleen Jeehyae Kim
Keyword(s):  
Life Satisfaction ◽  
Positive Impact ◽  
Learning Experience ◽  
Structural Constraint ◽  
Moderating Effects ◽  
Stress Group ◽  
Family Dining ◽  
Negative Impacts ◽  
Constraint Model ◽  
Positive Impacts

This study aimed to (1) to examine whether the constructs of dining out constraints (i.e., interpersonal constraint, structural constraint, and intrapersonal constraint) influence the frequency of mothers dining out with their family, (2) to investigate the relationship between cooking stress, the need for a reward, the desire to dine out, constraints, and the frequency of dining out as leisure, focusing on the entire process from problem/need recognition to purchase decision, (3) to identify whether dining out benefits (i.e., enjoyment, convenience, detachment, relaxation, and learning experience) influence the life satisfaction of mothers, and (4) to assess the moderating effects of mothers' cooking stress on the relationships among dining out benefits and life satisfaction. The results for the constraint model indicated that both interpersonal and structural constraints of dining out have significantly negative impacts on family dining out frequency, but it was failed to find the effect of intrapersonal constraint on family dining out frequency. The findings for the decision-making model indicated that cooking stress has significantly positive impacts on both desire to dine out and need for reward. It was also found that need for reward has a significantly positive impact on desire to dine out, and that desire to dine out has a significantly positive impact on perceived frequency of family dining out as leisure. It was revealed that desire to dine out also has significantly positive impacts on both interpersonal constraint and intrapersonal constraint, while there did not seem to be a positive relationship between desire to dine out and structural constraint. Both interpersonal constraint and structural constraint did not have significantly negative impacts on perceived frequency of dining out. Yet, intrapersonal constraint had a significantly negative impact on perceived frequency of dining out. The results for the benefit model indicated that enjoyment, convenience, relaxation, and learning experience have significantly positive impacts on life satisfaction after family dining out. On the other hand, detachment did not have a significant impact on life satisfaction after family dining out. Regarding the moderating effects of high versus low cooking stress groups, the effects of convenience and learning experience on life satisfaction were significantly smaller in the high cooking stress group than in the low cooking stress group, but the effects of enjoyment on life satisfaction were significantly stronger in the high cooking stress group than in the low cooking stress group. The effects of detachment and relaxation on life satisfaction were not significantly different between the high and low cooking stress groups. The implications of these findings for the restaurant management strategies to attract mothers and their families are discussed.

scholarly journals Evaluation of beauty training programs in regional work training center of East Jakarta using the goal free evaluation model

2019 ◽  
Vol 9 (1) ◽  
pp. 54-65
Author(s):  
Nely Suroyya Martalena ◽  
Dwi Atmanto ◽  
Jenny Sista Siregar
Keyword(s):  
Positive Impact ◽  
Evaluation Model ◽  
Research Subjects ◽  
Work Training ◽  
Negative Impacts ◽  
Almost All ◽  
Freelance Work ◽  
The Impact ◽  
Regional Work ◽  
Positive Impacts

This study aims to determine the impact of the beauty training program in PPKD of East Jakarta  on students. The impact can be seen based on three criteria, namely positive impacts according to program objectives, positive impacts outside the program objectives (side effects), and negative impacts outside the program objectives. The research method used in this study is an evaluative study using the Goal Free Evaluation model. The research subjects consisted of: managers, instructors, and beauty training participants in PPKD of East Jakarta . Data was collected using observation, interviews, and documentation. The results showed that (1) the positive impact according to the program objectives was felt by almost all training participants, namely they could increase their knowledge and skills in the field of beauty and were ready to enter the workforce, (2) a positive impact outside the program objectives freelance work as a makeup artist, having confidence in work, and daring to open a business in the field of beauty, and (3) negative impacts outside the program's objectives felt by a small number of training participants who were less serious and less focused on training that they could not accept the material taught so that they are not ready to enter the workforce.

scholarly journals Metaphors in climate discourse: an analysis of Swedish farm magazines

2011 ◽  
Vol 10 (04) ◽  
pp. A01 ◽  
Author(s):  
Therese Asplund
Keyword(s):  
Climate Change ◽  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Natural Science ◽  
Critical Discourse ◽  
Media Reports ◽  
Negative Impacts ◽  
Impacts Of Climate Change ◽  
Positive Impacts

This article examines communicative aspects of climate change, identifying and analysing metaphors used in specialized media reports on climate change, and discussing the aspects of climate change these metaphors emphasize and neglect. Through a critical discourse analysis of the two largest Swedish farm magazines over the 2000–2009 period, this study finds that greenhouse, war, and game metaphors were the most frequently used metaphors in the material. The analysis indicates that greenhouse metaphors are used to ascribe certain natural science characteristics to climate change, game metaphors to address positive impacts of climate change, and war metaphors to highlight negative impacts of climate change. The paper concludes by discussing the contrasting and complementary metaphorical representations farm magazines use to conventionalize climate change.

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.

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