A fuzzy approach to decision‐making in sea‐cage aquaculture production

2020 ◽  
Author(s):  
Manuel Luna ◽  
Ignacio Llorente ◽  
Angel Cobo
Keyword(s):  
Decision Making ◽  
Fuzzy Approach ◽  
Cage Aquaculture ◽  
Sea Cage ◽  
Aquaculture Production

MACAROMOD: A tool to model particulate waste dispersion and benthic impact from offshore sea-cage aquaculture in the Macaronesian region

2017 ◽  
Vol 361 ◽  
pp. 122-134 ◽  
Author(s):  
Rodrigo Riera ◽  
Óscar Pérez ◽  
Chris Cromey ◽  
Myriam Rodríguez ◽  
Eva Ramos ◽  
...  
Keyword(s):  
Cage Aquaculture ◽  
Sea Cage

Fuzzy Approach for Design of Ship's Decision-Making Systems

2000 ◽  
Vol 33 (17) ◽  
pp. 1191-1196
Author(s):  
Y.P. Kondratenko ◽  
G.V. Kondratenko ◽  
D.M. Pidoprigora ◽  
S.A. Sidorenko ◽  
V.L. Timchenko
Keyword(s):  
Decision Making ◽  
Fuzzy Approach

Sea cage aquaculture may provide an energetic subsidy to wild juvenile cod in coastal bays of southern Newfoundland, Canada

2021 ◽  
Author(s):  
LT McAllister ◽  
TE Van Leeuwen ◽  
JM Hanlon ◽  
CJ Morris ◽  
J Potter ◽  
...  
Keyword(s):  
Coastal Bays ◽  
Cage Aquaculture ◽  
Sea Cage

A Fuzzy Approach for Ranking of Student's Expectation From a Technical Institute

2021 ◽  
pp. 1628-1640
Author(s):  
Ajit Kumar Singh ◽  
A. M. Rawani
Keyword(s):  
Decision Making ◽  
Technical Education ◽  
Education Sector ◽  
Educational Services ◽  
Multi Criteria Decision Making ◽  
Fuzzy Approach ◽  
Technical Institute ◽  
Student Expectations

Due to high competition and less employability in the technical education sector, quality in technical education has turned out to be most extreme imperative criteria to deliver better educational services. For this reason, it is required to screen the expectation of the customer of the education sector for fulfilling their needs. With aim of this, this article first illustrates the identification of the customer of the education sector, then their expectations from an institute and finally a detailed ranking of each expectation which has been done. For the ranking of student's expectations, various authors have used a number of multi-criteria decision-making methods, but the vagueness of the result was not being handled in their research. Therefore, in this study, a fuzzy approach has been used to rank the various expectations of customers. The result of the study indicates that among all student expectations, the job-oriented expectation is the most important expectation and further, an ergonomics-based expectation and a sports-based expectation are the least important expectations of the students.

New records of sea lice (Copepoda: Caligidae) from marine fishes in Jaramijó, an area with potential for sea-cage aquaculture in Ecuador

Zootaxa ◽  
2015 ◽  
Vol 3920 (2) ◽  
pp. 366 ◽  
Author(s):  
FRANCISCO NEPTALI MORALES-SERNA ◽  
VÍCTOR CAÑA-BOZADA ◽  
GEORMERY MERA-LOOR ◽  
PEGGY LOOR-ANDRADE ◽  
EMMA J. FAJER-ÁVILA ◽  
...  
Keyword(s):  
New Records ◽  
Marine Fishes ◽  
Sea Lice ◽  
Cage Aquaculture ◽  
Sea Cage

Multicriteria Group Decision Making Using Fuzzy Approach for Evaluating Criteria of Electrician

2016 ◽  
Vol 6 (5) ◽  
pp. 2462 ◽  
Author(s):  
Wiwien Hadikurniawati ◽  
Khabib Mustofa
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Selection Process ◽  
Subjective Assessment ◽  
Fuzzy Approach ◽  
Multicriteria Group Decision Making ◽  
Alternative Ranking ◽  
Index Of Optimism

<p>This paper presents an approach of fuzzy multicriteria group decision making in determining alternatives to solve the selection problem of the electrician  through  a competency test.   Fuzzy approach is used to determine the highest priority of alternative electrician who has knowledge and ability that best fits the given parameters. Linguistic variables are presented by triangular fuzzy numbers. They are used to represent a subjective assessment of the decision-makers so that uncertainty and imprecision in the selection process can be minimized. Fuzzy approach require transforming crisp data to fuzzy numbers. Output of the best alternatives is generated by ranking method. Ranking has been made base on eight criteria which make the evaluation basis of each alternative. Ranking of the results is determined using different value of optimism index (). The fuzzy multi criteria decision making (FMCDM) calculation is using the best alternative using three value of optimism index. The result of calculation shows that the same alternative reached from different index of optimism. This alternative is the highest priority of decision making process.</p>

scholarly journals A Decision-Making Support System on a Products Recovery Management Framework. A Fuzzy Approach

2008 ◽  
Vol 16 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Isabel Fernández ◽  
Javier Puente ◽  
Nazario García ◽  
Alberto Gómez
Keyword(s):  
Decision Making ◽  
Support System ◽  
Fuzzy Approach ◽  
Management Framework ◽  
Recovery Management ◽  
Decision Making Support
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