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Study on the Development of Decision Making Using Intuitionistic Fuzzy Set (IFS) and Interval Valued Intuitionistic Fuzzy Set (IVIFS)
2013
IOSR Journal of Engineering
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makers are unable to discriminate explicitly the degree to which one alternative are better than others in such cases, the decision maker may provide their preferences for alternatives to a certain degree ...
Thus, it is very suitable to express the decision maker preference values with the use of fuzzy/intuitionistic fuzzy values rather than exact numerical values or linguistic variables [4] . ...
[26] further worked on IF relation and they present a construction method for Atanassov's intuitionistic fuzzy preference relations starting from fuzzy preference relations and taking into account the ...
doi:10.9790/3021-03443442
fatcat:mw3h4mxe2nfflfk2kub6424cxy
A Preference Index for Ranking Closed Intervals and Fuzzy Numbers
2017
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
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In this paper, we propose a novel method for ranking a set of fuzzy numbers. In this method a preference index is proposed based on α-optimistic values of a fuzzy number. ...
We propose a new ranking method by adopting a level of credit in the ordering procedure. ...
The Proposed Approach to Raking Fuzzy Numbers This section proposes a new method for ranking fuzzy numbers based on a novel preference index. ...
doi:10.1142/s0218488517500325
fatcat:o4j5mk3uivb5xh3q4ij7eg5cg4
Ranking fuzzy numbers using preference ratio: A utility function approach
2013
Decision Science Letters
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This paper investigates ranking fuzzy numbers using the concept of preference ratio, introduces the weakness of this method, and proposes a new approach that overcomes the shortcoming of existing method ...
The proposed approach which is based on the concept of utility function takes the opinion of DM for ranking fuzzy numbers into account. ...
Acknowledgment The authors would like to thank the anonymous referees for constructive comments on earlier version of this work. ...
doi:10.5267/j.dsl.2013.03.002
fatcat:ziadvhmotjc6hprnkzryseezoe
A study on the Role of Intuitionistic Fuzzy Set in Decision making problems
2012
International Journal of Computer Applications
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makers are unable to discriminate explicitly the degree to which one alternative are better than others in such cases, the decision maker may provide their preferences for alternatives to a certain degree ...
The theory of fuzzy sets [1] proposed by Zadeh has achieved a great success in various fields. ...
[33] further worked on IF relation and they present a construction method for Atanassov's intuitionistic fuzzy preference relations starting from fuzzy preference relations and taking into account the ...
doi:10.5120/7458-0501
fatcat:eekjqe6oxngc5puczyqz5pkwry
Bounded Rational Reciprocal Preference Relation for Decision Making
2022
Informatica
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Finally, a bounded rationality net-flow-based ranking method is presented to solve real decision-making problems with bounded rational reciprocal preference relations, and a numerical example with comparative ...
Based on the bounded rational reciprocity, the bounded rational reciprocal preference relation is then introduced. ...
Then, a new property called the bounded rational reciprocity is proposed. Based on the new property, the bounded rational reciprocal preference relation is introduced. ...
doi:10.15388/22-infor495
fatcat:iktqkuz7yfetfer4so6lqdqaue
A New Method For Ordering Fuzzy Number
2012
Journal of Mathematics and Computer Science
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This article is about ranking Fuzzy numbers and describes a ranking method for ordering fuzzy numbers based on the area of fuzzy numbers. ...
This method is simple in evaluation and can rank various types of fuzzy numbers and also crisp numbers which are considered to be a special class of fuzzy numbers. ...
In this paper, a new method is proposed which is based on the area of fuzzy numbers. The work is organized as follows. ...
doi:10.22436/jmcs.04.03.01
fatcat:bbtpd2of35ewfmzzds4vyhke4e
MULTI-ATTRIBUTE GROUP DECISION MAKING BASED ON HESITANT FUZZY SETS, TOPSIS METHOD AND FUZZY PREFERENCE RELATIONS
2018
Technological and Economic Development of Economy
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In order to solve these problems, by employing a distance measure and the TOPSIS method, we propose a new order relation extraction method based on a new additive consistency fuzzy preference relation ...
Then, the proposed additive consistency fuzzy preference relation is applied to integrate group decision information. ...
Moreover, due to the advanced new additive consistency fuzzy preference relation, a new MAGDM method has been addressed. ...
doi:10.3846/tede.2018.6768
fatcat:w4vcdyrwcregdczylay4manit4
A NEW MODEL FOR FUZZY PERSONALIZED ROUTE PLANNING USING FUZZY LINGUISTIC PREFERENCE RELATION
2017
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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However, due to the lake of knowledge about the preferences of different users and uncertainties available in the criteria values, we propose a new personalized fuzzy routing method based on the fuzzy ...
The proposed model uses Fuzzy Linguistic Preference Relation Analytical Hierarchical Process (FLPRAHP) to analyse user's preferences under uncertainty. ...
To find the best route regarding these fuzzy costs, we proposed a new fuzzy routing method based on incorporation of Center of Gravity Fuzzy Comparison (CGFC) method and dijkstra's algorithm. ...
doi:10.5194/isprs-archives-xlii-4-w4-417-2017
fatcat:pj7hxph5qncqlhenpq4egzfcgi
A Ranking Method for User Recommendation Based on Fuzzy Preference Relations in the Nature Reserve of Dangshan Pear Germplasm Resources
2018
Information
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In this paper, a ranking method based on fuzzy preference relations for user recommendation is proposed. ...
Then, an optimization model was proposed based on the fuzzy preference relation. ...
Yao and Wu introduced a ranking method for fuzzy numbers based on the decomposition principle [21] . ...
doi:10.3390/info9110291
fatcat:v6bmsgjxszh4valjvaj4zhpw4q
Fuzzy rankings for preferences modeling in group decision making
2018
International Journal of Intelligent Systems
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In this paper we propose Fuzzy Rankings, a new approximate preference model that offers an higher level of user-friendliness with respect to FPRs while trying to maintain an adequate level of expressiveness ...
Fuzzy rankings allow experts to focus on two alternatives at a time without losing the global picture so reducing inconsistencies. ...
one; with Fuzzy Preference Relations (FPRs) [11] they must assign a degree of preference for each alternative over any other. ...
doi:10.1002/int.21997
fatcat:jjikpokvujco5k5g2gcawubc5a
A Fuzzy Multiple Criteria Decision Making Model for Airline Competitiveness Evaluation
[chapter]
2006
Lecture Notes in Computer Science
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For finding out the strength and weakness of an airline over another airline, we present a preference function based on the extended fuzzy preference relation. ...
The strength and weakness matrices are then calculated based on the preference function. ...
Lee (2001) has proposed a new fuzzy ranking method based on fuzzy preference relation satisfying all criteria proposed by Yuan. ...
doi:10.1007/11893004_115
fatcat:ogpyboedyfezlm62xncbyjlxta
An Approach to Multiple Attribute Decision Making Based on Three Preference Information on Alternatives
2001
Pacific Asia Conference on Information Systems
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A new approach is presented to make use of both the decision makers' social fuzzy preference relation on alternatives and decision matrix to form an optimization model. ...
., preference orderings, utility values and fuzzy preference relation. ...
It is a new way of reflecting the decision makers' preference information based on the decision matrix. ...
dblp:conf/pacis/ZhangMF01
fatcat:ye32joam6rcl5eempbgcgptpxe
Improved fuzzy ranking procedure for decision making in product design
2009
International Journal of Production Research
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The ranking procedure is based on the fuzzy preference relation. A product design example is provided. ...
The ranking of fuzzy numbers is one of the most important of these tools, as fuzzy logic has a powerful capacity to manage the vague parameters usually associated with the expression of product requirements ...
Lee (2000) considered that the methods for ranking fuzzy numbers can be classified into two categories. The first is based on defuzzification and the second on the fuzzy preference relation. ...
doi:10.1080/00207540903117873
fatcat:slabhwfhn5cnrnssc6dshwsqce
Extensions of the multicriteria analysis with pairwise comparison under a fuzzy environment
2006
International Journal of Approximate Reasoning
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The existing approaches for solving this problem in a fuzzy environment are complex. Combining the concepts of grey relation and pairwise comparison, a new fuzzy MCDM method is proposed. ...
The study results show that this method is an effective means for tackling MCDM problems in a fuzzy environment. ...
Acknowledgement The authors would like to thank anonymous reviewers for their comments on an earlier version of this paper. ...
doi:10.1016/j.ijar.2006.04.006
fatcat:fr34uihzffdqdhdbwb52rtlrtm
An exponential-related function for decision-making in engineering and management
2017
Open Engineering
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AbstractAn intuitionistic fuzzy TOPSIS model, which is based on an exponential-related function (IF-TOPSIS) and a fuzzy entropy method, has been proposed in this study. ...
The exponential-related function, which represents the aggregated effect of positive and negative evaluations in the performance ratings of the alternatives, based on the intuitionistic fuzzy set (IFS) ...
From these the best concept design for the new air-conditions system can be selected based on the IF-TOPSIS and IFE method. ...
doi:10.1515/eng-2017-0022
fatcat:ixpgrrtq3rdelnf4z27lktayui
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