Optimizing sustainable and renewable energy portfolios using a fuzzy interval goal programming approach

Kouaissah, Noureddine; Hocine, Amin

doi:10.1016/j.cie.2020.106448

Cited by 38 publications

(12 citation statements)

References 49 publications

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“…As previously stated, the ZOGP model is suitable for selecting projects in a variety of fields. Likewise, the concept of this model has been used to develop many mathematical formulations for project selection problems and related issues, such as fuzzy, polynomial, multiple stochastic, interval, multisegment, and hybrid algorithms (Aksaraylı & Pala, 2018; De et al, 2018; Hocine et al, 2018; Jiménez et al, 2018; Kouaissah & Hocine, 2020; Masri, 2017; Tavana et al, 2019). Although the existing models have been enhanced in different ways, maximizations of desirability values with respect to each objective have not been examined; all of these models focused on minimizing deviations of goals.…”

Section: Principles Of the Relevant Methodsmentioning

confidence: 99%

“…Wu and Chen (2021) presented the systematical decision to select the most optimal project associated with a smart city concept, in which analytic hierarchy process (AHP)–ZOGP was adapted to resist unwanted deviations of each mandatory goal. Moreover, the ZOGP has been extended by fuzzy logic, interval, mixed integer, and multichoice in project selection problems and related issues (Aksaraylı & Pala, 2018; Khalili‐Damghani et al, 2013; Kocadağlı & Keskin, 2015; Kouaissah & Hocine, 2020; X. Wang et al, 2021; Zografidou et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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An integrated FAHP–ZODP approach for strategic marketing information system project selection

Koohathongsumrit

Luangpaiboon

2021

Manage Decis Econ

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This study presents a new integrated approach based on the fuzzy analytic hierarchy process (FAHP) and zero–one desirability programming (ZODP) for selecting strategic marketing information system projects. The FAHP is employed to prioritize the criteria, and the ZODP is used to select a set of appropriate projects. The proposed integrated FAHP–ZODP approach maximizes the overall desirability value under various objectives, limited resources, and preferences. The findings of this study support decision makers in project selection when conflicting attributes are involved, ensure effective decision making with an understanding of the marketing environment, and assist project management under certain and uncertain environments.

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Section: Principles Of the Relevant Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An integrated FAHP–ZODP approach for strategic marketing information system project selection

Koohathongsumrit

Luangpaiboon

2021

Manage Decis Econ

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“…Zhou et al [ 29 ] used type-2 fuzzy chance-constrained fractional integrated modelling method for the management of energy system subjected to uncertainties and risks. Kouaissah and Hocine [ 30 ] and Hashemizadeh and Ju [ 31 ] introduced sustainable and renewable energy portfolios using a fuzzy interval goal programming technique. Khan et al [ 32 ] examined and assessed the optimal cost system of electricity generation for the socio-economic sustainability of India by developing a sustainable and flexible electricity generation model using flexible fuzzy goal programming.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Energy Consumption Model for Textile Industry Using Fully Intuitionistic Fuzzy Optimization Approach

Kousar

Shafqat

Kausar

et al. 2022

Computational Intelligence and Neuroscience

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Consumption of renewable energy is on the rise because new technologies have made it cheaper and easier to meet the needs of a long-term energy source. In the present study, the idea of optimal usage of sustainable energy is discussed, taking into consideration the environmental and economic conditions that exist in Pakistan’s textile manufacturing industry. By taking into account the regional potential for the application of renewable energy resources, solar energy generators are taken into consideration, and a fully intuitionistic fuzzy (FIF) textile energy model is constructed. Using the FIF model to determine the optimal distribution of solar energy units resulted in a tolerable number of unused energy units. These units may be returned to the central power supply station, which would save both money and energy.

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“…Describe with and formulate fuzzy mixed integer Goal programming Aggregate planning based on three main objectives. Analysis of a wastewater treatment plant using fuzzy goal programming as a management tool: A case study [18] Linear mathematical programming methods reduction in economic costs by comparing optimal solutions with deterministic solutions with energy reductions of 803 KWh/year and theoretically reducing greenhouse emissions by 586.2 tCO2/year 11 Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions [19] The fuzzy programming model of multi-purpose additivesnew additives (WA-FMCGP), multi-attribute decision-making model (MADM) objective functions that minimize the summation of weighted additives from deviations that have been nominalized so that this study provides a different additional method to the application 12 Optimizing sustainable and renewable energy portfolios using a fuzzy interval goal programming approach [20] Multi-criteria method, multichoice inspiration level (MCALs), multi Choice goal Programming (RMCGP) model on the selection of the optimal energy portfolio as a power plant in Italy, the relevant renewable energy is biomass 13 Multi-objective flexibility-complexity trade-off problem in batch production systems using fuzzy goal programming [11].…”

Section: Introductionmentioning

confidence: 99%

Optimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach

Krisnaningsih¹,

Djatna

Arkeman

et al. 2022

Sinergi

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This study proposes a Fuzzy Goal Programming approach to optimize the problem of aggregate planning of production processes in companies that produce charcoal husks. The application proposed to the company describes the process of Rice Husk Charcoal Production taking into account the uncertain factors involved in the aggregate planning process of Rice Husk charcoal production. Decision-making related to the level of material needs in each type of rice husk charcoal product is considered based on planning for the next 12 months by including weighting value in membership function, determination of membership function of each function objectives with equivalent Crip of fuzzy goal programming. Fuzzification is based on three main objectives with three membership levels for each purpose of Goal Programming. This research provides the results of the proposed adaptive model applied to companies that produce charcoal husks.

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Optimizing sustainable and renewable energy portfolios using a fuzzy interval goal programming approach

Cited by 38 publications

References 49 publications

An integrated FAHP–ZODP approach for strategic marketing information system project selection

An integrated FAHP–ZODP approach for strategic marketing information system project selection

Sustainable Energy Consumption Model for Textile Industry Using Fully Intuitionistic Fuzzy Optimization Approach

Optimization of aggregate planning of rice husk charcoal production with Fuzzy Goal Programming approach

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