Variable fuzzy control for heat pump operation

Cho, Eunjun; Ha, Man Yeong; Chang, Se-Dong; Hwang, Yoonjei

doi:10.1007/s12206-010-1105-x

Cited by 3 publications

(3 citation statements)

References 5 publications

(5 reference statements)

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“…A further reduction in temperature happens in the pipe work and liquid receiver so that the refrigerant liquid is sub-cooled as it enters the expansion device. The determination of the criteria for the proposed DSS was done via questionnaires filled in by specialists as well as deep discussions with experts working in leading construction firms in Turkey such as AKDENİZ İNŞAAT & EĞİTİM HİZMETLERİ A.Ş., and also through making use of past studies by Isısan [30], Lee [31], and Cho et al [32]. The AC alternatives used in the proposed model were also determined in the same way.…”

Section: Path 3 -Pathmentioning

confidence: 99%

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A fuzzy based decision support system for air conditioner selection and an application to Turkish construction sector

Temucin

Tozan

2016

Teh. vjesn.

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A FUZZY BASED DECISION SUPPORT SYSTEM FOR AIR CONDITIONER SELECTION AND AN APPLICATION TO TURKISH CONSTRUCTION SECTOR Tolga Temuçin, Hakan TozanOriginal scientific paper In the construction industry, air conditioners (AC) are vital structural segments affecting human's comfort and health directly. In this context selection process for the proper AC requires the usage of multi-criteria decision making (MCDM) methods due to conflicting criteria such as purchasing and maintenance costs, technical sufficiency, quality of service, performance, etc. This study provides distinct systematic approaches both in fuzzy and crisp environments to deal with the selection problem of appropriate AC and proposes a decision support model helping decision makers in construction sector to assess the potentials of different products. The required data for decision matrices is obtained via a questionnaire administered to specialists as well as deep discussions with experts working in one of the leading construction firms and making use of past studies. An application of the proposed model is also performed in a leading construction company in Turkey. Keywords: air conditioning industry; construction sector; ELECTRE; fuzzy logic; multi-criteria decision making; TOPSIS Fuzzy temeljen sustav za pomoć kod donošenja odluke o izboru klima uređaja i primjena u građevinskom sektoru u TurskojIzvorni znanstveni rad U građevinarstvu su klima uređaji -air conditioners (AC) bitni konstrukcijski elementi od direktnog utjecaja na udobnost i zdravlje ljudi. U tom kontekstu postupak izbora odgovarajućeg uređaja zahtijeva primjenu metoda za donošenje odluke s više kriterija (MCDM -multi-criteria decision making) zbog kontradiktornih kriterija kao što su kupovni troškovi i troškovi održavanja, zadovoljavajuća tehnička svojstva, kvaliteta upotrebe, radne karakteristike itd. U radu se daju jasni, sustavni pristupi i u fuzzy i u crisp okruženju za izbor odgovarajućeg klima uređaja i predlaže model za pomoć onima u građevinskom sektoru koji donose odluku da procijene mogućnosti raznih proizvoda. Podaci potrebni za matrice donošenja odluke dobivaju se putem upitnika podijeljenih stručnjacima kao i podrobnih razgovora s ekspertima koji rade u jednoj od vodećih građevinskih tvrtki te proučavanjem podataka iz prethodnih istraživanja. Predloženi je model također primijenjen u vodećem građevinskom poduzeću u Turskoj.

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Section: Path 3 -Pathmentioning

confidence: 99%

“…Lee [31] and Cho et al [32] also defined the importance of noise and efficiency in air conditioning systems. Fig.…”

Section: Path 3 -Pathmentioning

confidence: 99%

A fuzzy based decision support system for air conditioner selection and an application to Turkish construction sector

Temucin

Tozan

2016

Teh. vjesn.

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“…They usually have two characteristics: the need for human operator experience, and a strong non-linearity. Nowadays, there are many real-world applications of FLCs such as mobile robot navigation 4,5 , air conditioning controllers 6,7 , domotic control 8,9 , and industrial applications 10,11,12 .…”

Section: Introductionmentioning

confidence: 99%

jFuzzyLogic: a Java Library to Design Fuzzy Logic Controllers According to the Standard for Fuzzy Control Programming

Cingolani¹,

Alcalá‐Fdez²

2013

IJCIS

167

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Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable for engineering applications for which classic control strategies do not achieve good results or for when it is too difficult to obtain a mathematical model. Recently, the International Electrotechnical Commission has published a standard for fuzzy control programming in part 7 of the IEC 61131 norm in order to offer a well defined common understanding of the basic means with which to integrate fuzzy control applications in control systems. In this paper, we introduce an open source Java library called jFuzzyLogic which offers a fully functional and complete implementation of a fuzzy inference system according to this standard, providing a programming interface and Eclipse plugin to easily write and test code for fuzzy control applications. A case study is given to illustrate the use of jFuzzyLogic.

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jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation

Cingolani

Alcalá‐Fdez

2012

2012 IEEE International Conference on Fuzzy Systems

168

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Variable fuzzy control for heat pump operation

Cited by 3 publications

References 5 publications

A fuzzy based decision support system for air conditioner selection and an application to Turkish construction sector

A fuzzy based decision support system for air conditioner selection and an application to Turkish construction sector

jFuzzyLogic: a Java Library to Design Fuzzy Logic Controllers According to the Standard for Fuzzy Control Programming

jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation

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