A fuzzy goal programming approach for regional rural development planning

Sharma, Dinesh K.; Ghosh, Debasis; Alade, Julius A.

doi:10.1016/j.amc.2005.09.080

Cited by 20 publications

(12 citation statements)

References 31 publications

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“…13 FGP techniques have been used for agriculture planning problems. [14][15][16] Land use problem in an agricultural system has been solved by FGP approach by Biswas and Pal. 17 FGP has been used for vendor selection problems in a supply chain by Kumar et al 18 FGP model to solve channel allocation problem in steel industry has been presented by Tsai et al 19 …”

Section: B)mentioning

confidence: 99%

Optimization of energy resources for cooking and heating—A fuzzy goal programming approach

Jinturkar¹,

Deshmukh

2011

Journal of Renewable and Sustainable Energy

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A fuzzy goal programming (FGP) approach is used for rural energy resource allocation for heating and cooking. The detail survey has been conducted to determine the potential of biogas and biomass and to find energy consumption pattern in four villages of Buldhana district, Maharashtra, India. Four fuzzy objective functions and six constrains based on the local availability are considered in this model. Four scenarios have been developed such as equal priority, cost priority, emission priority, and local resources priority. Due to vast uncertainty in energy data at micro level, fuzzy goal approach has been found suitable to take into consideration the variation in energy consumption rate. The proposed model can provide the best possible options for micro-level energy planning to the decision maker.

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Section: B)mentioning

confidence: 99%

Optimization of energy resources for cooking and heating—A fuzzy goal programming approach

Jinturkar¹,

Deshmukh

2011

Journal of Renewable and Sustainable Energy

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“…Over the last few decades many scholars had interest in studying farmer income and non-agricultural employment (Rozelle, 1996;Mukherjee, 2002), the migration of rural labor force (Sharma, 2006;Tao and Xu, 2007;Chen et al, 2008), the multi-functional agriculture in Europe (Potter and Tilzey, 2007;Marsden and Sonnino, 2008), the allocation of rural resources (Xie et al,2005), and the nature and process of change in rural China at different scales and from a variety of perspectives (Xu and Tan, 2001;Long et al,2009). However, how to categorize rural development is the core topic in the current research agenda of agriculture and rural development.…”

Section: Introductionmentioning

confidence: 99%

Appraisal of typical rural development models during rapid urbanization in the eastern coastal region of China

2009

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The sustainability of regional rural development depends on the integrated status and the coordination between rural resources-environment conditions and rural socioeconomic development. In this paper a diagnostic indicator system is proposed to appraise four representative rural development models such as Mentougou model, Taicang model, Yueqing model and Qionghai model in the eastern coastal region of China from the integrated perspective of population, resources, environment, and development. In conclusion, the formation and evolution of these diverse rural development models are the direct response to the very different characteristics in the environment, market demand, and regional culture. These models are common in that their sustainability depends on the scientific guidance of the regional development functional positioning, strong intra-regional interactions, and self-adaptability to the external conditions.

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“…If we only focus on applications, a large number of works can be found in the literature applying FGP to different real decision problems (see Sharma et al 2006 for a review of a large number of applications).…”

Section: Introductionmentioning

confidence: 99%

A new approach of Romero’s extended lexicographic goal programming: fuzzy extended lexicographic goal programming

et al. 2009

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Goal programming (GP) is perhaps one of the most widely used approaches in the field of multicriteria decision making. The major advantage of the GP model is its great flexibility which enables the decision maker to easily incorporate numerous variations on constraints and goals. Romero provides a general structure, extended lexicographic goal programming (ELGP) for GP and some multiobjective programming approaches. In this work, we propose the extension of this unifying framework to fuzzy multiobjective programming. Our extension is carried out by several methodologies developed by the authors in the fuzzy GP approach. An interval GP model has been constructed where the feasible set has been defined by means of a relationship between fuzzy numbers. We will apply this model to our fuzzy extended lexicographic goal programming (FELGP). The FELGP is a general primary structure with the same advantages as Romero's ELGP and moreover it has the capacity of working with imprecise information. An example is given in order to illustrate the proposed method.

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A fuzzy goal programming approach for regional rural development planning

Cited by 20 publications

References 31 publications

Optimization of energy resources for cooking and heating—A fuzzy goal programming approach

Optimization of energy resources for cooking and heating—A fuzzy goal programming approach

Appraisal of typical rural development models during rapid urbanization in the eastern coastal region of China

A new approach of Romero’s extended lexicographic goal programming: fuzzy extended lexicographic goal programming

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