Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: September/October 2024.
Deadline for submissions: 16 November 2024.
Issue:Multi-objective optimisation in air-conditioning systems: comfort/discomfort definition by IF sets: Difference between revisions
Jump to navigation
Jump to search
m links |
m Text replacement - ""Notes on IFS", Volume" to ""Notes on Intuitionistic Fuzzy Sets", Volume" |
||
(5 intermediate revisions by 3 users not shown) | |||
Line 4: | Line 4: | ||
{{issue/title | {{issue/title | ||
| title = Multi-objective optimisation in air-conditioning systems: comfort/discomfort definition by IF sets | | title = Multi-objective optimisation in air-conditioning systems: comfort/discomfort definition by IF sets | ||
| shortcut = nifs/7/1/10-21 | |||
}} | }} | ||
{{issue/author | {{issue/author | ||
Line 14: | Line 15: | ||
{{issue/data | {{issue/data | ||
| conference = | | conference = | ||
| issue = [[Notes on Intuitionistic Fuzzy Sets/07/1|"Notes on | | issue = [[Notes on Intuitionistic Fuzzy Sets/07/1|"Notes on Intuitionistic Fuzzy Sets", Volume 7 (2001), Number 1]], pages 10-21 | ||
| file = NIFS-07-1-10-21.pdf | | file = NIFS-07-1-10-21.pdf | ||
| format = PDF | | format = PDF | ||
| size = 1040 | | size = 1040 | ||
| abstract = | | abstract = | ||
The problem of multi-objective optimisation of air-conditioning (AC) systems is treated in the paper in the framework of [[intuitionistic fuzzy set theory]]. The nature of the problem is multi-objective one with requirements for minimal costs (generally, life cycle costs; more specifically, energy costs) and maximal occupants' comfort (minimal discomfort). Moreover, its definition by conventional means is bounded to a number of restrictions and assumptions, which are often far from the real-life situations. Attempts have been made to formulate and solve this problem by means of the [[fuzziness|fuzzy]] optimisation. The present paper makes further step by exploring the innovative concept of [[intuitionistic fuzzy sets]] into definition of the trickiest issue: comfort and discomfort definition. The new approach allows to formulate more precisely the problem which compromises energy saving and thermal comfort satisfaction under given constraints. The resulting IF optimisation problem could be solved numerically or, under some assumptions, analytically. An example illustrates the viability of the proposed approach. A solution which significantly (with | The problem of multi-objective optimisation of air-conditioning (AC) systems is treated in the paper in the framework of [[intuitionistic fuzzy set theory]]. The nature of the problem is multi-objective one with requirements for minimal costs (generally, life cycle costs; more specifically, energy costs) and maximal occupants' comfort (minimal discomfort). Moreover, its definition by conventional means is bounded to a number of restrictions and assumptions, which are often far from the real-life situations. Attempts have been made to formulate and solve this problem by means of the [[fuzziness|fuzzy]] optimisation. The present paper makes further step by exploring the innovative concept of [[intuitionistic fuzzy sets]] into definition of the trickiest issue: comfort and discomfort definition. The new approach allows to formulate more precisely the problem which compromises energy saving and thermal comfort satisfaction under given constraints. The resulting IF optimisation problem could be solved numerically or, under some assumptions, analytically. An example illustrates the viability of the proposed approach. A solution which significantly (with 35%) improves comfort is found which is more energetically expensive with only 0.6%. This illustrates the possibility to use the approach for trade-off analysis in multi-objective optimisation of AC systems. | ||
| keywords = [[ | | keywords = [[Intuitionistic fuzzy sets]], IF optimisation, multi-objective optimisation, air-conditioning systems, comfort/discomfort | ||
| references = | | references = | ||
# Angelov P., Optimization in an Intuitionistic Fuzzy Environment, [[Fuzzy Sets and Systems]], 86, 299-306.1997 | # Angelov P., Optimization in an Intuitionistic Fuzzy Environment, [[Fuzzy Sets and Systems]], 86, 299-306.1997 | ||
# Angelov P., [[Issue:Intuitionistic fuzzy optimization|Intuitionistic fuzzy optimization]], [[Notes on Intuitionistic Fuzzy Sets/01/2|"Notes on Intuitionistic Fuzzy Sets", Volume 1, 1995, Number 2]], pages 27-33 | # Angelov P., [[Issue:Intuitionistic fuzzy optimization|Intuitionistic fuzzy optimization]], [[Notes on Intuitionistic Fuzzy Sets/01/2|"Notes on Intuitionistic Fuzzy Sets", Volume 1, 1995, Number 2]], pages 27-33 | ||
Line 27: | Line 28: | ||
# Angelov P., A Fuzzy Approach to Multi-Objective Optimization of Building Thermal Systems, Proc. of the 8th IFSA World Congress, Taiwan, Taipei, 17-19 August 1999, 1,429-434 | # Angelov P., A Fuzzy Approach to Multi-Objective Optimization of Building Thermal Systems, Proc. of the 8th IFSA World Congress, Taiwan, Taipei, 17-19 August 1999, 1,429-434 | ||
# Angelov P., Evolving Fuzzy Rule-based Models, Journal of CIIE, special issue on Industrial Application of Soft Computing, 17, 2459-468, 2000, ISSN 1017-0669 | # Angelov P., Evolving Fuzzy Rule-based Models, Journal of CIIE, special issue on Industrial Application of Soft Computing, 17, 2459-468, 2000, ISSN 1017-0669 | ||
# [[Krassimir Atanassov|Atanassov K.]], Intuitionistic | # [[Krassimir Atanassov|Atanassov K.]], [[Issue:Intuitionistic fuzzy sets|Intuitionistic fuzzy sets]], Fuzzy Sets and Systems, 20, 87-96, 1986 | ||
# Atanassov K., [[Issue:Ideas for intuitionistic fuzzy equations, inequalities and optimization|Ideas for intuitionistic fuzzy equations]], [[Notes on Intuitionistic Fuzzy Sets/01/1|Notes on Intuitionistic Fuzzy Sets, Volume l, 1995, Number 1]], pages l7-24 | # Atanassov K., [[Issue:Ideas for intuitionistic fuzzy equations, inequalities and optimization|Ideas for intuitionistic fuzzy equations]], [[Notes on Intuitionistic Fuzzy Sets/01/1|Notes on Intuitionistic Fuzzy Sets, Volume l, 1995, Number 1]], pages l7-24 | ||
# [[Humberto Bustince|Bustince H.]], [[Issue:Handling multicriteria fuzzy decision making problems based on intuitionistic fuzzy sets|Handling multicriteria fuzzy decision making problems based on intuitionistic fuzzy sets]], [[Notes on Intuitionistic Fuzzy Sets/01/1|Notes on Intuitionistic Fuzzy Sets, Volume l, 1995, Number 1]], 42-47 | # [[Humberto Bustince|Bustince H.]], [[Issue:Handling multicriteria fuzzy decision making problems based on intuitionistic fuzzy sets|Handling multicriteria fuzzy decision making problems based on intuitionistic fuzzy sets]], [[Notes on Intuitionistic Fuzzy Sets/01/1|Notes on Intuitionistic Fuzzy Sets, Volume l, 1995, Number 1]], 42-47 | ||
Line 59: | Line 60: | ||
# H.-J. Zimmermann, Fuzzy Sets - Theory and its Application (Kluwer, Dordrecht, 1985) | # H.-J. Zimmermann, Fuzzy Sets - Theory and its Application (Kluwer, Dordrecht, 1985) | ||
| citations = | | citations = | ||
{{Special:WhatLinksHere/Issue:{{PAGENAME}}|namespace=102|hidetrans=1|hideredirs=1}} | |||
| see-also = | | see-also = | ||
}} | }} |
Latest revision as of 18:17, 28 August 2024
shortcut
|
|