A probabilistic linguistic-based deviation method for multi-expert qualitative decision making with aspirations

2020 ◽  
Vol 93 ◽  
pp. 106362 ◽  
Author(s):  
Xiaolu Zhang ◽  
Huchang Liao ◽  
Bin Xu ◽  
Meifang Xiong
Keyword(s):  
Decision Making ◽  
Qualitative Decision ◽  
Deviation Method

scholarly journals Algorithm for Probabilistic Dual Hesitant Fuzzy Multi-Criteria Decision-Making Based on Aggregation Operators With New Distance Measures

Mathematics ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 280 ◽  
Author(s):  
Harish Garg ◽  
Gagandeep Kaur
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Weight Vector ◽  
Aggregation Operators ◽  
Distance Measures ◽  
Weighted Averaging ◽  
Hesitant Fuzzy Set ◽  
Maximum Deviation ◽  
Dual Hesitant Fuzzy Set ◽  
Deviation Method

Probabilistic dual hesitant fuzzy set (PDHFS) is an enhanced version of a dual hesitant fuzzy set (DHFS) in which each membership and non-membership hesitant value is considered along with its occurrence probability. These assigned probabilities give more details about the level of agreeness or disagreeness. By emphasizing the advantages of the PDHFS and the aggregation operators, in this manuscript, we have proposed several weighted and ordered weighted averaging and geometric aggregation operators by using Einstein norm operations, where the preferences related to each object is taken in terms of probabilistic dual hesitant fuzzy elements. Several desirable properties and relations are also investigated in details. Also, we have proposed two distance measures and its based maximum deviation method to compute the weight vector of the different criteria. Finally, a multi-criteria group decision-making approach is constructed based on proposed operators and the presented algorithm is explained with the help of the numerical example. The reliability of the presented decision-making method is explored with the help of testing criteria and by comparing the results of the example with several prevailing studies.

Qualitative decision making in adaptive presentation of structured information

2004 ◽  
Vol 22 (4) ◽  
pp. 503-539 ◽  
Author(s):  
Ronen I. Brafman ◽  
Carmel Domshlak ◽  
Solomon E. Shimony
Keyword(s):  
Decision Making ◽  
Adaptive Presentation ◽  
Structured Information ◽  
Qualitative Decision

scholarly journals Application of Qualitative Management Techniques in Administrative and Academic Decision Making at Higher Secondary Level in Punjab

2020 ◽  
Vol V (I) ◽  
pp. 346-355
Author(s):  
Liaqat Ali ◽  
Muhammad Yousaf ◽  
Tariq Javaid
Keyword(s):  
Decision Making ◽  
Sampling Technique ◽  
Secondary Level ◽  
Male And Female ◽  
Female Principals ◽  
Descriptive Research ◽  
Significant Difference ◽  
Management Techniques ◽  
Academic Decision Making ◽  
Qualitative Decision

The purpose of the present research was to study the application of qualitative management techniques in administrative and academic decision making at higher secondary level in Punjab. The present study was a kind of exploratory and descriptive research. By using stratified random sampling technique, (197) principals of public higher secondary schools were selected as a sample. A self developed questionnaire was used to collect data. Data were analyzed by performing independent sample t-test. The findings of the study showed that there was no significant difference between over all male and female Principals extent of the use of qualitative decision making techniques in planning, directing and as well as in administrative and academic decision making process. However, there found to be difference between over all male and female Principals extent of the use of qualitative decision making techniques in organizing process. Training may be launched to improve the use of decision making techniques.

scholarly journals Generalization of Maximizing Deviation and TOPSIS Method for MADM in Simplified Neutrosophic Hesitant Fuzzy Environment

Symmetry ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1058 ◽  
Author(s):  
Muhammad Akram ◽  
Sumera Naz ◽  
Florentin Smarandache
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Social Economy ◽  
Hesitant Fuzzy Set ◽  
Attribute Weights ◽  
Fuzzy Environment ◽  
Relative Closeness ◽  
Multiple Attribute ◽  
Maximizing Deviation Method ◽  
Deviation Method

With the development of the social economy and enlarged volume of information, the application of multiple-attribute decision-making (MADM) has become increasingly complex, uncertain, and obscure. As a further generalization of hesitant fuzzy set (HFS), simplified neutrosophic hesitant fuzzy set (SNHFS) is an efficient tool to process the vague information and contains the ideas of a single-valued neutrosophic hesitant fuzzy set (SVNHFS) and an interval neutrosophic hesitant fuzzy set (INHFS). In this paper, we propose a decision-making approach based on the maximizing deviation method and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to solve the MADM problems, in which the attribute weight information is incomplete, and the decision information is expressed in simplified neutrosophic hesitant fuzzy elements. Firstly, we inaugurate an optimization model on the basis of maximizing deviation method, which is useful to determine the attribute weights. Secondly, using the idea of the TOPSIS, we determine the relative closeness coefficient of each alternative and based on which we rank the considered alternatives to select the optimal one(s). Finally, we use a numerical example to show the detailed implementation procedure and effectiveness of our method in solving MADM problems under simplified neutrosophic hesitant fuzzy environment.

Interval TOPSIS with a novel interval number comprehensive weight for threat evaluation on uncertain information

2021 ◽  
pp. 1-17
Author(s):  
Chen Xiang ◽  
Wang Xing ◽  
Zhang Hubiao ◽  
Xu Yuheng ◽  
Chen You ◽  
...  
Keyword(s):  
Decision Making ◽  
Situation Awareness ◽  
Interval Number ◽  
Uncertain Information ◽  
Interval Numbers ◽  
Subjective Weight ◽  
Order Preference ◽  
The Mean ◽  
Deviation Method ◽  
Threat Evaluation

Threat evaluation (TE) is essential in battlefield situation awareness and military decision-making. The current processing methods for uncertain information are not effective enough for their excessive subjectivity and difficulty to obtain detailed information about enemy weapons. In order to optimize TE on uncertain information, an approach based on interval Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and the interval SD-G1 (SD standard deviation) method is proposed in this article. By interval SD-G1 method, interval number comprehensive weights can be calculated by combining subjective and objective weights. Specifically, the subjective weight is calculated by interval G1 method, which is an extension of G1 method into interval numbers. And the objective weight is calculated by interval SD method, which is an extension of SD method with the mean and SD of the interval array defined in this paper. Sample evaluation results show that with the interval SD-G1 method, weights of target threat attributes can be better calculated, and the approach combining interval TOPSIS and interval SD-G1 can lead to more reasonable results. Additionally, the mean and SD of interval arrays can provide a reference for other fields such as interval analysis and decision-making.

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