A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants

The purpose of this paper is to model the multi-criteria decision problem of identifying the most suitable facility locations for biogas plants under an integrated decision support methodology. Here the Geographical Information System (GIS) is used for measuring the attributes of the alternatives according to a given set of criteria. Measurements are taken in interval form, expressing the natural imprecision of common data, and the Fuzzy Weighted Overlap Dominance (FWOD) procedure is applied for aggregating and exploiting this kind of data, obtaining suitability degrees for every alternative. The estimation of criteria weights, which is necessary for applying the FWOD procedure, is done by means of the Analytical Hierarchy Process (AHP), such that a combined AHP-FWOD methodology allows identifying the more suitable sites for building biogas plants. We show that the FWOD relevance-ranking procedure can also be successfully applied over the outcomes of different decision makers, in case a unique social solution is required to exist. The proposed methodology can be used under an integrated decision support frame for identifying the most suitable locations for biogas facilities, taking into account the most relevant criteria for the social, economic and political dimensions.

[1]  J. A. Goguen,et al.  The logic of inexact concepts , 1969, Synthese.

[2]  Stan Openshaw,et al.  Modifiable Areal Unit Problem , 2008, Encyclopedia of GIS.

[3]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[4]  Jukka Rintala,et al.  A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland , 2014 .

[5]  E. Gnansounou,et al.  GIS-based approach for defining bioenergy facilities location: A case study in Northern Spain based on marginal delivery costs and resources competition between facilities , 2008 .

[6]  Francisco Herrera,et al.  Computing with Words in Decision support Systems: An overview on Models and Applications , 2010, Int. J. Comput. Intell. Syst..

[7]  Nasrin Asgari,et al.  Multiple criteria facility location problems: A survey , 2010 .

[8]  Jagtar Singh,et al.  Geographical distribution of agricultural residues and optimum sites of biomass based power plant in Bathinda, Punjab , 2011 .

[9]  Yanwei Sun,et al.  Spatial planning framework for biomass resources for power production at regional level: A case study for Fujian Province, China , 2013 .

[10]  Javier Montero,et al.  An ordinal approach to computing with words and the preference-aversion model , 2014, Inf. Sci..

[11]  J. Montero,et al.  A Survey of Interval‐Valued Fuzzy Sets , 2008 .

[12]  Zhongsheng Hua,et al.  A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process , 2006, Fuzzy Sets Syst..

[13]  Jurng-Jae Yee,et al.  A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN) , 2014 .

[14]  Jerry D. Murphy,et al.  Determining the regional potential for a grass biomethane industry , 2011 .

[15]  Jens Leth Hougaard,et al.  The Fuzzy WOD Model with Application to Biogas Plant Location , 2013, SOCO-CISIS-ICEUTE.

[16]  I. Turksen Type 2 representation and reasoning for CWW , 2002 .

[17]  Amit Kumar,et al.  Optimal siting and size of bioenergy facilities using geographic information system , 2012 .

[18]  G. Higgs Integrating multi-criteria techniques with geographical information systems in waste facility location to enhance public participation , 2006, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[19]  M. Birkin,et al.  Spatial competition for biogas production using insights from retail location models. , 2014 .

[20]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[21]  James Scott,et al.  A review of multi-criteria decision-making methods for bioenergy systems , 2012 .

[22]  Amit Kumar,et al.  Development of tortuosity factor for assessment of lignocellulosic biomass delivery cost to a biorefinery , 2014 .

[23]  Da Ruan,et al.  Fuzzy group decision-making for facility location selection , 2003, Inf. Sci..

[24]  Á. Pérez-Navarro,et al.  Multicriteria assessment in GIS environments for siting biomass plants , 2013 .

[25]  Claude Ponsard,et al.  History of Spatial Economic Theory , 1983 .

[26]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[27]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[28]  Jens Leth Hougaard,et al.  Weighted Overlap Dominance ― A procedure for interactive selection on multidimensional interval data , 2011 .

[29]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[30]  Humberto Bustince,et al.  On the relevance of some families of fuzzy sets , 2007, Fuzzy Sets Syst..

[31]  Ivor Grattan-Guinness,et al.  Fuzzy Membership Mapped onto Intervals and Many-Valued Quantities , 1976, Math. Log. Q..

[32]  Seong-Hwan Yoon,et al.  Development of an Environment and energy Geographical Information System (E-GIS) construction model to support environmentally friendly urban planning , 2013 .