Evaluation of photovoltaic cells in a multi-criteria decision making process

García-Cáscales, M. Socorro; Lamata, María Teresa; Sánchez-Lozano, Juan Miguel

doi:10.1007/s10479-011-1009-x

Cited by 73 publications

(41 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this context, the aim of this section is the study and analysis of the proposed method to be used when searching for the best photovoltaic cell. According to the study of García‐Cascales, et al., there are five potential photovoltaic cells (i.e., alternatives) currently available (see Ref. for more details): x 1 : photovoltaic cells with crystalline silicon (monocrystalline and polycrystalline), x 2 : photovoltaic cells with inorganic thin layer (amorphous silicon), x 3 : photovoltaic cells with inorganic thin layer (cadmium telluride/cadmium sulfide and copper indium gallium diselenide/cadmium sulfide), x 4 : photovoltaic cells with advanced III–V thin layer with tracking systems for solar concentration, and x 5 : photovoltaic cells with advanced, low cost, thin layers (organic and hybrid cells). …”

Section: Evaluation Of Photovoltaic Cells Under Pythagorean Fuzzy Envmentioning

confidence: 99%

A Novel Approach Based on Similarity Measure for Pythagorean Fuzzy Multiple Criteria Group Decision Making

Zhang

2015

Int. J. Intell. Syst.

355

291

View full text Add to dashboard Cite

The Pythagorean fuzzy set, as a new extension of intuitionistic fuzzy set, has recently been developed to manage the complex uncertainty in practical group decision problems. The purpose of this article is to develop a new decision method based on similarity measure to address multiple criteria group decision making problems within Pythagorean fuzzy environment based on Pythagorean fuzzy numbers (PFNs). The contribution of this article is fivefold: (1) An accuracy function of PFNs is defined and a new ranking method for PFNs is proposed; (2) new Pythagorean fuzzy aggregating operators are developed; (3) a novel similarity measure for PFNs is presented, and some desirable properties are discussed; (4) a simple and effective Pythagorean fuzzy group decision method is introduced; and (5) The proposed method is applied to address the selection problem of photovoltaic cells. C 2015 Wiley Periodicals, Inc.

show abstract

Section: Evaluation Of Photovoltaic Cells Under Pythagorean Fuzzy Envmentioning

confidence: 99%

A Novel Approach Based on Similarity Measure for Pythagorean Fuzzy Multiple Criteria Group Decision Making

Zhang

2015

Int. J. Intell. Syst.

355

291

View full text Add to dashboard Cite

show abstract

“…Defuzzification process A defuzzification process [51] allows to transform fuzzy numbers into crisp values, i.e., real values:…”

Section: The Fuzzy Topsis (Ftopsis) Methodsmentioning

confidence: 99%

GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain

2016

View full text Add to dashboard Cite

“…For a promoter or inverter, the selection of a best photovoltaic cell plays a significant role in aspect of maximizing income, minimizing costs and conferring high maturity and reliability. In this study, we assume that there are five potential photovoltaic cells to be selected (please see [35] The rating of each alternative under each attribute can be considered as an IVIFN and the results evaluated by the DM are contained in an IVIF decision matrix shown in Table 2. Each cell of the decision matrix denotes the IVIFN assessment of an alternative with respect to an attribute.…”

Section: Descriptionmentioning

confidence: 99%

New Interval-Valued Intuitionistic Fuzzy Behavioral MADM Method and Its Application in the Selection of Photovoltaic Cells

Zhang

2016

Energies

View full text Add to dashboard Cite

As one of the emerging renewable resources, the use of photovoltaic cells has become a promise for offering clean and plentiful energy. The selection of a best photovoltaic cell for a promoter plays a significant role in aspect of maximizing income, minimizing costs and conferring high maturity and reliability, which is a typical multiple attribute decision making (MADM) problem. Although many prominent MADM techniques have been developed, most of them are usually to select the optimal alternative under the hypothesis that the decision maker or expert is completely rational and the decision data are represented by crisp values. However, in the selecting processes of photovoltaic cells the decision maker is usually bounded rational and the ratings of alternatives are usually imprecise and vague. To address these kinds of complex and common issues, in this paper we develop a new interval-valued intuitionistic fuzzy behavioral MADM method. We employ interval-valued intuitionistic fuzzy numbers (IVIFNs) to express the imprecise ratings of alternatives; and we construct LINMAP-based nonlinear programming models to identify the reference points under IVIFNs contexts, which avoid the subjective randomness of selecting the reference points. Finally we develop a prospect theory-based ranking method to identify the optimal alternative, which takes fully into account the decision maker's behavioral characteristics such as reference dependence, diminishing sensitivity and loss aversion in the decision making process.

show abstract

Evaluation of photovoltaic cells in a multi-criteria decision making process

Cited by 73 publications

References 23 publications

A Novel Approach Based on Similarity Measure for Pythagorean Fuzzy Multiple Criteria Group Decision Making

A Novel Approach Based on Similarity Measure for Pythagorean Fuzzy Multiple Criteria Group Decision Making

GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain

New Interval-Valued Intuitionistic Fuzzy Behavioral MADM Method and Its Application in the Selection of Photovoltaic Cells

Contact Info

Product

Resources

About