Search Results - subject:"fuzzy analytic hierarchy process"

A fuzzy multi-criteria approach for evaluating the contribution of freight transportation towards India's Nationally Determined Contributions (NDCs)

Mahapatra, Diptiranjan; Katiyar, Rajesh; Parida, Ratri; … - In: International journal of production research 59 (2021) 9, pp. 2857-2884

Persistent link: https://www.econbiz.de/10012516266

Analysing the vulnerability of green clothing supply chains in South and Southeast Asia using fuzzy analytic hierarchy process

Majumdar, Abhijit; Sinha, Sanjib Kumar; Shaw, Mahesh; … - In: International journal of production research 59 (2021) 3, pp. 752-771

Persistent link: https://www.econbiz.de/10012484610

A model to assess the development priorities of local administrations through the hierarchy of strategic factors

Łuczak, Aleksandra; Kozera, Agnieszka - In: Journal of policy modeling : JPMOD ; a social science … 43 (2021) 2, pp. 474-492

Persistent link: https://www.econbiz.de/10012872785

Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal

In: Journal of Industrial Engineering and Management (JIEM) 10 (2017) 5, pp. 853-886

choose suitable municipalities using hybrid fuzzy goal programming model which hybridizes the fuzzy analytic hierarchy … process and fuzzy goal programming. The second phase is to find the optimal routes for each selected municipality using hybrid …

Persistent link: https://www.econbiz.de/10011939361

Solving multi-objective facility location problem using the fuzzy analytical hierarchy process and goal programming: a case study on infectious waste disposal centers

Wichapa, Narong; Khokhajaikiat, Porntep - In: Operations Research Perspectives 4 (2017), pp. 39-48

The selection of a suitable location for infectious waste disposal is one of the major problems in waste management. Determining the location of infectious waste disposal centers is a difficult and complex process because it requires combining social and environmental factors that are hard to...

Persistent link: https://www.econbiz.de/10011825935

Using the hybrid fuzzy goal programming model and hybrid genetic algorithm to solve a multi-objective location routing problem for infectious waste disposal

Narong Wichapa; Porntep Khokhajaikiat - In: Journal of industrial engineering and management : JIEM 10 (2017) 5, pp. 853-886

Persistent link: https://www.econbiz.de/10011920766

Solving multi-objective facility location problem using the fuzzy analytical hierarchy process and goal programming : a case study on infectious waste disposal centers

Narong Wichapa; Porntep Khokhajaikiat - In: Operations research perspectives 4 (2017), pp. 39-48

he selection of a suitable location for infectious waste disposal is one of the major problems in waste management. Determining the location of infectious waste disposal centers is a difficult and complex process because it requires combining social and environmental factors that are hard to...

Persistent link: https://www.econbiz.de/10011822861

Barriers to development of private sector investment in water and sewage industry

Sarvari, Hadi; Chan, Daniel W.M.; Banaitiene, Nerija; … - In: Built Environment Project and Asset Management 11 (2020) 1, pp. 52-70

Analytic Hierarchy Process (FAHP) was applied to further examine the responses and to rank the identified barriers. Findings … and categorized. A structured survey was then developed and distributed to private sector investment experts. The Fuzzy …

Persistent link: https://www.econbiz.de/10014677907

Prioritizing the critical factors of cloud computing adoption using multi-criteria decision-making techniques

Sharma, Mahak; Gupta, Ruchita; Acharya, Padmanav - In: Global business review 21 (2020) 1, pp. 142-161

Persistent link: https://www.econbiz.de/10012211009

Assessment of hospital service quality parameters from patient, doctor and employees' perspectives

Singh, Ajwinder; Prasher, Ajay; Kular, Navdeep Kaur - In: Total quality management & business excellence 31 (2020) 13, pp. 1467-1486

Persistent link: https://www.econbiz.de/10012312238