scholarly journals An integrated multiple criteria decision making model applying axiomatic fuzzy set theory

2012 ◽  
Vol 36 (10) ◽  
pp. 5046-5058 ◽  
Author(s):  
Lili Tao ◽  
Yan Chen ◽  
Xiaodong Liu ◽  
Xin Wang
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Model ◽  
Axiomatic Fuzzy Set Theory

Fuzzy Decision Making in Politics: A Linguistic Fuzzy-Set Approach (LFSA)

2005 ◽  
Vol 13 (1) ◽  
pp. 23-56 ◽  
Author(s):  
Badredine Arfi
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Trust And Power

In this article I use linguistic fuzzy-set theory to analyze the process of decision making in politics. I first introduce a number of relevant elements of (numerical and linguistic) fuzzy-set theory that are needed to understand the terminology as well as to grasp the scope and depth of the approach. I then explicate a linguistic fuzzy-set approach (LFSA) to the process of decision making under conditions in which the decision makers are required to simultaneously satisfy multiple criteria. The LFSA approach is illustrated through a running (hypothetical) example of a situation in which state leaders need to decide how to combine trust and power to make a choice on security alignment.

A fuzzy-set approach for multiple criteria decision making in sustainable consumption of organic food

2021 ◽  
Vol 10 (3) ◽  
pp. 291-300
Author(s):  
Thi Thuy Giang Huynh ◽  
Tien Dung Luu ◽  
Tuan Thanh Phung
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Sustainable Consumption ◽  
Organic Food ◽  
Multiple Criteria ◽  
Government Support ◽  
Income Status ◽  
Aspect Social

The study proposes a set of enablers of the consumer sustainable organic food consumption and detects the interrelationship between these attributes. This paper adopts the fuzzy set theory and decision-making trial and evaluation to explore the interrelationship between attributes, including consumer demographic aspect, psychological aspect, social-level aspect and stakeholder impact being explained through 13 criteria and being assessed by experts in the industry. The findings show that stakeholder impact and demographic aspect belong to a causal group and impact the other two aspects. The six most important attributes affecting sustainable consumption of organic foods are support and guidance from government support, mass media, education and research institutions, educational level, income status and consumer age. The study grants an alternative approach for sustainable consumption theory through providing a fuzzy-set theory for multiple criteria decisions making in sustainable consumption of organic food.

A Novel Flow Meter Selection Method Based on Fuzzy Multiple Criteria Decision-Making

2011 ◽  
Vol 403-408 ◽  
pp. 3548-3554
Author(s):  
M.M. Zalloi ◽  
M.A. Sadrnia ◽  
M.M. Fateh
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Classical Method ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Selection Method ◽  
Flow Meter ◽  
Complex Situation

Decision making can be defined as the selection process of the best cases from the alternatives in order to achieve a goal. Process planning engineers often use their intuition and experience in decision making. Fuzzy set theory has been used since 1970 in decision making process by using human experiences. This paper presents a new approach in the selection method for a Suitable flow meter based on fuzzy set theory for the industrial and automation process. The technical parameters such as turn down ration, power loss, accuracy, installation considerations and etc. with economic aspects, environmental effects, and safety considerations are established with field and laboratory tests together with the determination of other qualitative variables too. Classical method for flow meter selections generally produce a complex situation and take a long period of time. But new proposed method for flow meter selection has enabled users and suppliers to decide more quickly, easily and sensitively.

scholarly journals A Q-RUNG ORTHOPAIR FUZZY GLDS METHOD FOR INVESTMENT EVALUATION OF BE ANGEL CAPITAL IN CHINA

2020 ◽  
Vol 26 (1) ◽  
pp. 103-134 ◽  
Author(s):  
Huchang Liao ◽  
Hongrun Zhang ◽  
Cheng Zhang ◽  
Xingli Wu ◽  
Abbas Mardani ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Distance Measure ◽  
Intuitionistic Fuzzy Set ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Investment Evaluation ◽  
Dominance Score ◽  
Do So

As a generalized form of both intuitionistic fuzzy set and Pythagorean fuzzy sets, the q-rung orthopair fuzzy set (q-ROFS) has strong ability to handle uncertain or imprecision decisionmaking problems. This paper aims to introduce a new multiple criteria decision making method based on the original gain and lost dominance score (GLDS) method for investment evaluation. To do so, we first propose a new distance measure of q-rung orthopair fuzzy numbers (q-ROFNs), which takes into account the hesitancy degree of q-ROFNs. Subsequently, two methods are developed to determine the weights of DMs and criteria, respectively. Next, the original GLDS method is improved from the aspects of dominance flows and order scores of alternatives to address the multiple criteria decision making problems with q-ROFS information. Finally, a case study concerning the investment evaluation of the BE angle capital is given to illustrate the applicability and superiority of the proposed method.

An advisable facial semantic characterization based on Axiomatic Fuzzy Set theory and information granules

2020 ◽  
Vol 523 ◽  
pp. 133-151
Author(s):  
Yan Ren ◽  
Shuting Zhang ◽  
Wanquan Liu ◽  
Lidong Wang ◽  
Wei Guan
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Information Granules ◽  
Axiomatic Fuzzy Set Theory

Evaluation of Quantified Statements Using Gradual Numbers

2011 ◽  
pp. 246-269 ◽  
Author(s):  
Ludovic Liétard ◽  
Daniel Rocacher
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Relational Databases ◽  
Fuzzy Numbers ◽  
Theoretical Background ◽  
Definition Of ◽  
Flexible Querying

This chapter is devoted to the evaluation of quantified statements which can be found in many applications as decision making, expert systems, or flexible querying of relational databases using fuzzy set theory. Its contribution is to introduce the main techniques to evaluate such statements and to propose a new theoretical background for the evaluation of quantified statements of type “Q X are A” and “Q B X are A.” In this context, quantified statements are interpreted using an arithmetic on gradual numbers from Nf, Zf, and Qf. It is shown that the context of fuzzy numbers provides a framework to unify previous approaches and can be the base for the definition of new approaches.

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