scholarly journals The Decision of an Eco-Friendly Reservoir Operation Scheme Based on a Variable Set

Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1694
Author(s):  
Hai-tao Chen ◽  
A-long Li ◽  
Wen-chuan Wang ◽  
Zhao Zhao
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Reservoir Operation ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Simple Calculation ◽  
Scheduling Scheme ◽  
Scheme Optimization ◽  
Starting Point ◽  
New Ideas

The river ecosystem has the characteristics of the coexistence of clarity and ambiguity. The starting point of eco-friendly reservoir operation is to fully consider the ecological water requirements of the lower reaches of the reservoir, so it also has the characteristics of clarity and vagueness. The fuzzy theory is an excellent tool to realize the quantification of fuzzy concepts. In this paper, the variable set theory (VS) is introduced into the decision-making field of eco-friendly reservoir scheduling scheme optimization. Taking Ertan Hydropower Station as an example, the scheduling scheme optimization is carried out. To verify the effectiveness of the evaluation method, this paper compares and analyzes the evaluation results of the fuzzy set evaluation method and the composite fuzzy matter-element method. The results show that the variable fuzzy set method has the advantages of rigorous theory, a concise model, and simple calculation, and the decision result is reasonable and reliable. This research can provide new ideas for the decision-making research of engineering.

Fuzzy Judgments and Fuzzy Sets

2012 ◽  
pp. 100-116 ◽  
Author(s):  
Thomas L. Saaty ◽  
Liem T. Tran
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fuzzy Theory ◽  
Value Theory ◽  
Outcome Data ◽  
Analytic Hierarchy ◽  
The Many ◽  
The Right

Using fuzzy set theory has become attractive to many people. However, the many references cited here and in other works, little thought is given to why numbers should be made fuzzy before plunging into the necessary simulations to crank out numbers without giving reason or proof that it works to one’s advantage. In fact it does not often do that, certainly not in decision making. Regrettably, many published papers that use fuzzy set theory presumably to get better answers were not judged thoroughly by reviewers knowledgeable in both fuzzy theory and decision making. Buede and Maxwell (1995), who had done experiments on different ways of making decisions, found that fuzzy does the poorest job of obtaining the right decision as compared with other ways. “These experiments demonstrated that the MAVT (Multiattribute Value Theory) and AHP (Analytic Hierarchy Process) techniques, when provided with the same decision outcome data, very often identify the same alternatives as ‘best’. The other techniques are noticeably less consistent with the Fuzzy algorithm being the least consistent.”

A Computer Aided Assembly Sequence Evaluation Method Based on the Fuzzy Theory for the Complex Products

2011 ◽  
Vol 421 ◽  
pp. 381-387
Author(s):  
Lei Zhao ◽  
Yuan Li ◽  
Yan Ping Wang
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Assembly Sequence ◽  
Practical Application ◽  
Multi Index ◽  
Complex Products ◽  
Evaluation Mode ◽  
Computer Aided ◽  
Distributed Method

Aim at the characteristic of airplane assembly sequence evaluation, which has too many rules, and the quantity process of qualitative rules is too complicated, this paper presents an evaluation mode based on the fuzzy theory and the multi-index progressive model. According to the evaluation rules space and the coefficient distributed method of rules compared, it divides the rules space into force associated decision-making gather and weak associated decision-making gather by defining the cut value. Then it adopts the maximal subjection fundamental to implement the function of assembly sequence evaluation. An instance about airplane sub-assembly is used to prove this method can solve a practical application availably.

Fuzzy Judgments and Fuzzy Sets

2010 ◽  
Vol 1 (1) ◽  
pp. 23-40 ◽  
Author(s):  
Thomas L. Saaty ◽  
Liem T. Tran
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fuzzy Theory ◽  
Value Theory ◽  
Outcome Data ◽  
Analytic Hierarchy ◽  
The Many ◽  
The Right

Using fuzzy set theory has become attractive to many people. However, the many references cited here and in other works, little thought is given to why numbers should be made fuzzy before plunging into the necessary simulations to crank out numbers without giving reason or proof that it works to one’s advantage. In fact it does not often do that, certainly not in decision making. Regrettably, many published papers that use fuzzy set theory presumably to get better answers were not judged thoroughly by reviewers knowledgeable in both fuzzy theory and decision making. Buede and Maxwell (1995), who had done experiments on different ways of making decisions, found that fuzzy does the poorest job of obtaining the right decision as compared with other ways. “These experiments demonstrated that the MAVT (Multiattribute Value Theory) and AHP (Analytic Hierarchy Process) techniques, when provided with the same decision outcome data, very often identify the same alternatives as ‘best’. The other techniques are noticeably less consistent with the Fuzzy algorithm being the least consistent.”

Application of Gray Fuzzy Theory in the Post Evaluation of the Huaihe River Treatment Engineering

2012 ◽  
Vol 209-211 ◽  
pp. 1194-1198
Author(s):  
Jian Long Gao ◽  
Jian Liu
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Essential Element ◽  
Social Stability ◽  
Fuzzy Evaluation ◽  
River Engineering ◽  
Huaihe River ◽  
Post Evaluation ◽  
The Huaihe River

Chinese Huaihe River treatment engineering had made brilliant achievements which provided a reliable guarantee of social stability, development and prosperity of watershed economy. As a means of decision-making and management of construction project, the post evaluation of the project was an essential element of basic procedures of project management. Combined with the gray fuzzy evaluation method, project post evaluation on the Huaihe River engineering was conducted in this paper. The result showed that the gray fuzzy evaluation method could reduce the influence of subjective factors impacted on project post evaluation to some extent, and make the qualitative issues quantification possible.

Evaluation Method for Students’ Grade Statistics System Based on Fuzzy Analytic Hierarchy Process

2012 ◽  
Vol 433-440 ◽  
pp. 5339-5343
Author(s):  
Shi Lei
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Fuzzy Approach ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Hierarchy Process

Analytic hierarchy process (AHP) and fuzzy theory which is defined as fuzzy analytic hierarchy process (FAHP) has been widely used for a variety of applications including evaluation and decision-making. In the study, the method based on FAHP is proposed to evaluate students’ grade statistics system, where analytic hierarchy process is a common method and is applied for various sectors for analyzing qualitative criteria to weight the alternatives, and the merit of using fuzzy approach is to express the distribution of evaluation values of each index. On the basis of describing evaluation indexes for students’ grade statistics system, and the evaluation model of students’ grade statistics system is created based on analytic hierarchy process and fuzzy theory. Finally, the case is adopted to testify the effectiveness of the proposed method.

Methodology of ECG Interpretation in the Padova Program

1990 ◽  
Vol 29 (04) ◽  
pp. 386-392 ◽  
Author(s):  
R. Degani ◽  
G. Bortolan
Keyword(s):  
Decision Making ◽  
Medical School ◽  
Fuzzy Set ◽  
Medical Knowledge ◽  
Main Aspect ◽  
Measurement Evaluation ◽  
Possibility Distributions ◽  
Linguistic Decision Making ◽  
The University ◽  
Ecg Interpretation

AbstractThe main lines ofthe program designed for the interpretation of ECGs, developed in Padova by LADSEB-CNR with the cooperation of the Medical School of the University of Padova are described. In particular, the strategies used for (i) morphology recognition, (ii) measurement evaluation, and (iii) linguistic decision making are illustrated. The main aspect which discerns this program in comparison with other approaches to computerized electrocardiography is its ability of managing the imprecision in both the measurements and the medical knowledge through the use of fuzzy-set methodologies. So-called possibility distributions are used to represent ill-defined parameters as well as threshold limits for diagnostic criteria. In this way, smooth conclusions are derived when the evidence does not support a crisp decision. The influence of the CSE project on the evolution of the Padova program is illustrated.

Why Is Safe Science Good Science?

2018 ◽  
Author(s):  
Camilla Kao ◽  
Che-I Kao ◽  
Russell Furr
Keyword(s):  
Decision Making ◽  
Design Thinking ◽  
Good Science ◽  
Safety Issues ◽  
Safety Requirements ◽  
The Arts ◽  
Hands On ◽  
Obvious Benefit ◽  
New Ideas

In science, safety can seem unfashionable. Satisfying safety requirements can slow the pace of research, make it cumbersome, or cost significant amounts of money. The logic of rules can seem unclear. Compliance can feel like a negative incentive. So besides the obvious benefit that safety keeps one safe, why do some scientists preach "safe science is good science"? Understanding the principles that underlie this maxim might help to create a strong positive incentive to incorporate safety into the pursuit of groundbreaking science.<div><br></div><div>This essay explains how safety can enhance the quality of an experiment and promote innovation in one's research. Being safe induces a researcher to have <b>greater control</b> over an experiment, which reduces the <b>uncertainty</b> that characterizes the experiment. Less uncertainty increases both <b>safety</b> and the <b>quality</b> of the experiment, the latter including <b>statistical quality</b> (reproducibility, sensitivity, etc.) and <b>countless other properties</b> (yield, purity, cost, etc.). Like prototyping in design thinking and working under the constraint of creative limitation in the arts, <b>considering safety issues</b> is a hands-on activity that involves <b>decision-making</b>. Making decisions leads to new ideas, which spawns <b>innovation</b>.</div>

Some new Pythagorean fuzzy correlation techniques via statistical viewpoint with applications to decision-making problems

2021 ◽  
pp. 1-13
Author(s):  
Paul Augustine Ejegwa ◽  
Shiping Wen ◽  
Yuming Feng ◽  
Wei Zhang ◽  
Jia Chen
Keyword(s):  
Decision Making ◽  
Correlation Coefficient ◽  
Fuzzy Set ◽  
Intuitionistic Fuzzy Set ◽  
Superior Performance ◽  
Statistical Techniques ◽  
New Techniques ◽  
Reliable Technique ◽  
Performance Indexes ◽  
Fuzzy Correlation

Pythagorean fuzzy set is a reliable technique for soft computing because of its ability to curb indeterminate data when compare to intuitionistic fuzzy set. Among the several measuring tools in Pythagorean fuzzy environment, correlation coefficient is very vital since it has the capacity to measure interdependency and interrelationship between any two arbitrary Pythagorean fuzzy sets (PFSs). In Pythagorean fuzzy correlation coefficient, some techniques of calculating correlation coefficient of PFSs (CCPFSs) via statistical perspective have been proposed, however, with some limitations namely; (i) failure to incorporate all parameters of PFSs which lead to information loss, (ii) imprecise results, and (iii) less performance indexes. Sequel, this paper introduces some new statistical techniques of computing CCPFSs by using Pythagorean fuzzy variance and covariance which resolve the limitations with better performance indexes. The new techniques incorporate the three parameters of PFSs and defined within the range [-1, 1] to show the power of correlation between the PFSs and to indicate whether the PFSs under consideration are negatively or positively related. The validity of the new statistical techniques of computing CCPFSs is tested by considering some numerical examples, wherein the new techniques show superior performance indexes in contrast to the similar existing ones. To demonstrate the applicability of the new statistical techniques of computing CCPFSs, some multi-criteria decision-making problems (MCDM) involving medical diagnosis and pattern recognition problems are determined via the new techniques.

scholarly journals Dimensional Analysis under Linguistic Pythagorean Fuzzy Set

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 440
Author(s):  
Aldo Joel Villa Silva ◽  
Luis Pérez-Domínguez ◽  
Erwin Martínez Gómez ◽  
David Luviano-Cruz ◽  
Delia Valles-Rosales
Keyword(s):  
Decision Making ◽  
Dimensional Analysis ◽  
Fuzzy Set ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Mutual Relationship ◽  
Pythagorean Fuzzy Set ◽  
Cnc Router ◽  
Selection Of

Dimensional analysis under linguistic Pythagorean fuzzy set (DA-LPFS) is a technique to handle qualitative (intangible) as well as the interactions between criteria, by combining dimensional analysis (DA) and Pythagorean fuzzy set (PFS) with linguistic variables. In this paper, a novel DA method is proposed for LPFSs based in a PFS extension, in order to consider the mutual relationship among criteria and handle qualitative (fuzzy) and quantitative (crisp) information usually involved in Multi-criteria decision making (MCDM) problems. Finally, DA-LPFS is applied to handle a case concerning the selection of CNC router to illustrate the applicability of the method.

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