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Content
Volume 29 (2024)
Volume 29, Issue 1 (In Progress)
Pg 1 - 37 (June 2024)
Volume 28 (2023)
Volume 28, Issue 2
Pg 65 - 119 (December 2023)
Volume 28, Issue 1
Pg 1 - 64 (June 2023)
Volume 27 (2022)
Volume 27, Issue 2
Pg 169 - 273 (December 2022)
Volume 27, Issue 1
Pg 1 - 167 (June 2022)
Volume 26 (2021)
Volume 26, Issue 2
Pg 103 - 209 (December 2021)
Volume 26, Issue 1
Pg 1 - 101 (June 2021)
Volume 25 (2020)
Volume 25, Issue 2
Pg 85 - 142 (December 2020)
Volume 25, Issue 1
Pg 1 - 84 (June 2020)
Volume 24 (2019)
Volume 24, Issue 2
Pg 55 - 100 (December 2019)
Volume 24, Issue 1
Pg 1 - 54 (June 2019)
Volume 23 (2018)
Volume 23, Issue 2-3
Pg 73 - 127 (November 2018)
Volume 23, Issue 1
Pg 1 - 72 (May 2018)
Volume 22 (2017)
Volume 22, Issue 4
Pg 193 - 223 (December 2017)
Volume 22, Issue 3
Pg 137 - 191 (September 2017)
Volume 22, Issue 2
Pg 71 - 136 (June 2017)
Volume 22, Issue 1
Pg 1 - 70 (March 2017)
Volume 21 (2016)
Volume 21, Issue 4
Pg 265 - 315 (December 2016)
Volume 21, Issue 3
Pg 187 - 264 (September 2016)
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Pg 107 - 185 (June 2016)
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Pg 1 - 105 (March 2016)
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Pg 97 - 188 (December 2015)
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Pg 1 - 96 (September 2015)
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Pg 1 - 72 (March 2015)
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Pg 87 - 169 (December 2014)
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Pg 1 - 86 (September 2014)
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Volume 17, Issue 2
Pg 95 - 188 (June 2014)
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Pg 1 - 93 (March 2014)
Volume 16 (2013)
Volume 16, Issue 2
Pg 65 - 123 (December 2013)
Volume 16, Issue 1
Pg 1 - 64 (October 2013)
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Volume 15, Issue 2
Pg 73 - 111 (August 2013)
Volume 15, Issue 1
Pg 1 - 71 (June 2013)
Volume 14 (2013)
Volume 14, Issue 2
Pg 71 - 132 (April 2013)
Volume 14, Issue 1
Pg 1 - 69 (February 2013)
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Volume 13, Issue 2
Pg 77 - 142 (December 2012)
Volume 13, Issue 1
Pg 1 - 75 (October 2012)
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Volume 12, Issue 2
Pg 79 - 143 (August 2012)
Volume 12, Issue 1
Pg 1 - 78 (June 2012)
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Pg 65 - 129 (April 2012)
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Pg 1 - 64 (February 2012)
Volume 10 (2011)
Volume 10, Issue 2
Pg 77 - 139 (December 2011)
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Pg 1 - 75 (October 2011)
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Pg 93 - 197 (August 2011)
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Pg 1 - 91 (June 2011)
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Pg 61 - 124 (April 2011)
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Pg 1 - 60 (February 2011)
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Pg 61 - 119 (December 2010)
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Pg 1 - 59 (October 2010)
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Volume 6, Issue 2
Pg 95 - 179 (August 2010)
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Pg 1 - 94 (June 2010)
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Volume 5, Issue 2
Pg 81 - 179 (April 2010)
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Pg 1 - 80 (February 2010)
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Volume 4, Issue 3
Pg 237 - 355 (October 2009)
Volume 4, Issue 2
Pg 121 - 236 (June 2009)
Volume 4, Issue 1
Pg 1 - 120 (February 2009)
Volume 3 (2008)
Volume 3, Issue 3
Pg 255 - 387 (October 2008)
Volume 3, Issue 2
Pg 131 - 254 (June 2008)
Volume 3, Issue 1
Pg 1 - 129 (February 2008)
Volume 2 (2007)
Volume 2, Issue 3
Pg 217 - 320 (October 2007)
Volume 2, Issue 2
Pg 109 - 216 (June 2007)
Volume 2, Issue 1
Pg 1 - 108 (February 2007)
Volume 1 (2006)
Volume 1, Issue 3
Pg 187 - 271 (October 2006)
Volume 1, Issue 2
Pg 83 - 185 (June 2006)
Volume 1, Issue 1
Pg 1 - 81 (February 2006)
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Advances in Fuzzy Sets and Systems
Advances in Fuzzy Sets and Systems
Volume 2, Issue 3, Pages 239 - 266 (October 2007)
A LOGIC-BASED FUZZY MULTICRITERIA DECISION SUPPORT SYSTEM USING THE IDEAL AND THE ANTI-IDEAL SOLUTIONS: ASSESSING THE SUSTAINABILITY OF RENEWABLE ENERGY POLICIES
Konstantinos Anagnostopoulos (Greece), Haris Doukas (Greece) and John Psarras (Greece)
Abstract:
The proposed fuzzy multicriteria decision support system is founded on logic-based decision rules, which are based on a sound logic that emulates the rationale of human thinking in making multicriteria decisions. The methodology handles imprecise data by assuming that the ratings of the alternatives with respect to each criterion as well as the criteria weights are represented by fuzzy numbers. Incorporating the human thinking, the method allows the decision maker to create a set of decision rules that should be followed to make a decision. The decision rules consider the ideal solution and the anti-ideal solution and assess each alternative in terms of distance as well as similarity to them, using distance and similarity measures. The combinations of these rules are specified by the decision maker. The rules and their combinations are modelled by functions used in fuzzy sets theory and aggregation operators. It is shown that the proposed method presents flexibility in modelling the decision maker’s preferences and it is also robust and effective to handle multicriteria problems of considerable complexity.
Keywords and phrases:
fuzzy multicriteria decision support, similarity measures, distance measures, sustainable development, renewables.
Number of Downloads:
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P-ISSN: 0973-421X
Journal Stats
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