Research on a Fuzzy Choice Function in Multi-Objective Fuzzy Decision

2013 ◽  
Vol 347-350 ◽  
pp. 3-6
Author(s):  
Jian Xiong Long
Keyword(s):  
Decision Making ◽  
Choice Function ◽  
Evaluation Process ◽  
Fuzzy Decision Making ◽  
Fuzzy Evaluation ◽  
Fuzzy Decision ◽  
Multi Objective ◽  
Decision Making System ◽  
Effective Decision Making ◽  
Fuzzy Choice Function

In the multi-objective fuzzy decision-making system, the decision-making problems will be encountered in the multi-objective and multi-evaluation process, so that it does not achieve effective decision-making results. How to solve this multi-objective decision making problems, a fuzzy choice function is proposed, that will be proved an effective method of fuzzy evaluation. The multi-objective decision making problem in the selection and evaluation is effectively solved in a decision-making system by using of the fuzzy choice function.

scholarly journals FMADM: YAGER MODEL IN FUZZY DECISION MAKING

2018 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Kisworo Kisworo
Keyword(s):  
Decision Making ◽  
Standard Form ◽  
Team Work ◽  
Fuzzy Decision Making ◽  
Multi Criteria Decision Making ◽  
Fuzzy Decision ◽  
Multi Objective ◽  
Decisionmaking Process ◽  
Decision Environment

This paper presents Yager model, i.e. standard form of Fuzzy Multi-Atributte Decision Making (FMADM) in fuzzy decision environment. Simulasion of this model would be performed under scope of fuzzy decisionmaking process to show its existence. As academics, researchers, and practitioners know on it, besides theFMADM, so is there Fuzzy Multi-Objective Decision Making (FMODM) at where the both has their same derivation, e.i. Fuzzy Multi-Criteria Decision Making (FMCDM). Related to the matter, significant value that could be represented then gives contribution to team work-oriented principal of decision makers.Keywords: Yager Model, FMADM, FMODM, FMCDM, fuzzy decision-making.

A Fuzzy Decision-Making System for the Impact of Pesticides Applied in Agricultural Fields on Human Health

2020 ◽  
Vol 9 (3) ◽  
pp. 42-62
Author(s):  
Karthik S. ◽  
Saroj Kumar Dash ◽  
Punithavelan N.
Keyword(s):  
Decision Making ◽  
Human Health ◽  
Health Hazards ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Agricultural Lands ◽  
Linguistic Terms ◽  
Decision Making System ◽  
Agricultural Yield ◽  
The Impact

Farmers are widely applying chemical pesticides to the agricultural lands to kill weeds to reduce crop losses and to prevent diseases created by insects. By applying pesticides to the lands, typically have greater agricultural yield. As pesticides have toxic ingredients, they can create so many health problems to humans and will degrade the environment gradually. Since each pesticide is linked to some health hazards when the composition of the pesticides exceeds its limits, uncertainty arises in determining the human health hazards. Hence, fuzzy logic-based decision-making model is designed to diagnose the human health hazards. In the model, the linguistic terms are used to represent the association between pesticides and human health hazards with the aid of chemists and physicians. Fuzzy numbers are used to represent the values for the linguistic terms. Therefore, the intent of the paper is to analyze the human health hazards induced by applying different pesticides in the agricultural lands through the proposed fuzzy decision-making system.

Dual Hesitant Fuzzy Information Aggregation in Decision Making

2013 ◽  
Vol 389 ◽  
pp. 854-859 ◽  
Author(s):  
Hai Bin Huang ◽  
Li Na Cai ◽  
Peng Chao Cai
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Information Aggregation ◽  
Decision Makers ◽  
Weighted Averaging ◽  
Fuzzy Decision Making ◽  
Fuzzy Evaluation ◽  
Fuzzy Decision ◽  
Hesitant Fuzzy Sets ◽  
Evaluation Information

As an extension of hesitant fuzzy sets, dual hesitant fuzzy sets can depict the attitude when decision makers give their certain or uncertain hesitant fuzzy evaluation information. In this paper, we develop the dual hesitant fuzzy ordered weighted averaging (DHFOWA) operator and the dual hesitant fuzzy ordered weighted geometric (DHFOWG) operator, study their properties, utilize them to aggregate dual hesitant fuzzy decision making information and verify their effectiveness and correctness.

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