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P-MOORA (Plithogenic extension of P-MOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-MULTIMOORA (Plithogenic extension of P-MULTIMOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-OCRA (Plithogenic extension of P-OCRA) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-PROMETHEE (Plithogenic extension of P-PROMETHEE) is a outranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-PSI (Plithogenic extension of P-PSI) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-RAFSI (Plithogenic extension of P-RAFSI) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-RAWEC (Plithogenic extension of P-RAWEC) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-ROV (Plithogenic extension of P-ROV) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-SAW (Plithogenic extension of P-SAW) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-SPOTIS (Plithogenic extension of P-SPOTIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-TODIM (Plithogenic extension of P-TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-TOPSIS (Plithogenic extension of P-TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-VIKOR (Plithogenic extension of P-VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-WASPAS (Plithogenic extension of P-WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-WISP (Plithogenic extension of P-WISP) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
P-WPM (Plithogenic extension of P-WPM) is a ranking multi-criteria decision-making (MCDM) method introduced by Smarandache, F. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PAM (Polygons Area Method) is a ranking multi-criteria decision-making (MCDM) method introduced by Various authors in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PAMSSEM-I (PAMSSEM I — Procédure d'Agrégation Multicritère) is a outranking multi-criteria decision-making (MCDM) method introduced by Martel, J. M., Aouni, B. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PAMSSEM-II (PAMSSEM II — Total ranking variant) is a outranking multi-criteria decision-making (MCDM) method introduced by Martel, J. M., Aouni, B. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
The Parent-Child Relationship Inventory (PCRI) is a 78-item (or 35-item short form) parent self-report measure of parenting attitudes, behaviors, and relationship quality with their child ages 3–15 years. Developed by Abraham Gerard in 1994, the PCRI assesses six dimensions of parenting: Parental Support, Satisfaction
Particle Swarm Optimization (PSO) is a population-based metaheuristic algorithm introduced by Kennedy and Eberhart in 1995, inspired by the collective movement of bird flocks and fish schools. Each candidate solution — called a particle — moves through the search space by updating its velocity and position based on its
The Patient Dignity Inventory (PDI) is a 25-item self-report measure assessing dignity-related distress in patients with advanced cancer and life-limiting illness. Developed by Chochinov and colleagues at the University of Manitoba in 2008, the PDI operationalizes 'dignity' as a multidimensional construct encompassing
The PedsQL Cancer Module is a 31-item disease-specific instrument developed by Varni et al. in 2002 to measure quality of life in children and adolescents with cancer aged 2–18 years. It captures treatment burden (nausea, vomiting, pain, hair loss), cancer-related worry, cognitive concerns, and emotional and social imp
The PedsQL Cardiac Module is a disease-specific instrument developed by Varni et al. in the mid-2000s to measure quality of life in children and adolescents with cardiac disease aged 2–18 years. Measuring across domains including cardiac symptom impact, activity limitations, and cardiac-related worry, it captures how c
The PedsQL Diabetes Module is a 28-item disease-specific instrument developed by Varni et al. in 2003 to measure quality of life in children and adolescents with type 1 and type 2 diabetes. It captures the impact of diabetes management, glucose monitoring, and disease-related worry on daily functioning. The module is p
The Pediatric Quality of Life Inventory (PedsQL), developed by James Varni in 2001, is a validated, evidence-based patient-reported outcome measure assessing health-related quality of life in children and adolescents aged 2–18 years. Available in generic core scales and disease-specific modules, it measures physical, e
The PedsQL Sickle Cell Disease Module is a disease-specific instrument developed by Varni et al. in 2012 to measure quality of life in children and adolescents with sickle cell disease aged 2–18 years. Measuring across domains including pain and symptoms, functional limitations, school impact, and disease-related worry
The PFDI is a condition-specific quality-of-life measure designed to assess symptom distress across the spectrum of pelvic floor disorders, including urinary incontinence, pelvic organ prolapse, and fecal incontinence. Originally published by Barber and colleagues in 2001 with 93 items, the 20-item short form (PFDI-20)
The PDI is a 13-item self-report measure assessing the emotional, physical, and cognitive distress experienced during or immediately after a traumatic event. Developed by Brunet, Akerib, and Birmes in 2001, it captures acute peritraumatic responses (dissociation, fear, confusion) that predict risk for chronic PTSD. It
PF-ARAS (Pythagorean extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-COCOSO (PF-CoCoSo — Pythagorean extension of COCOSO) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-CODAS (Pythagorean extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-COPRAS (Pythagorean extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-EDAS (Pythagorean extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-ELECTRE-II (Pythagorean fuzzy ELECTRE-II for group MCDM) is a outranking multi-criteria decision-making (MCDM) method introduced by Akram, M.; Ilyas, F.; Garg, H. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-GRA (Pythagorean extension of GRA) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-MABAC (Pythagorean extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-MARCOS (Pythagorean extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-MOORA (Pythagorean extension of MOORA) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-PROMETHEE (Pythagorean extension of PROMETHEE) is a outranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-SAW (Pythagorean extension of SAW) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-TODIM (Pythagorean extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Ren, P., Xu, Z., Gou, X. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-TOPSIS (Pythagorean extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zhang, X., Xu, Z. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-VIKOR (Pythagorean extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Abbas, S., Hussain, Z., Hussain, Z., Ali, I., Mudabar, S.M. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-WASPAS (Pythagorean extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PF-WPM (Pythagorean extension of WPM) is a ranking multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PHF-COPRAS (Probabilistic Hesitant extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Song, H. F. Chen, Z. C. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PHF-EDAS (Extended Hesitant Fuzzy Linguistic EDAS (EHFL-EDAS)) is a ranking multi-criteria decision-making (MCDM) method introduced by Feng, X., Wei, C., Liu, Q. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PHF-TOPSIS (Probabilistic Hesitant extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by PENDING_LITERATURE_SEARCH. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PHF-VIKOR (Probabilistic Hesitant extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Zhang, S. Xu, Z. S. He, Y. in 2017. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PHFS-EHVAR (PHFS-EHVaR — Expected Hesitant Value-at-Risk for Probabilistic Hesitant Fuzzy Sets (Zhou-Xu 2017)) is a ranking multi-criteria decision-making (MCDM) method introduced by Zhou, W. Xu, Z. in 2017. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PHFS-HVAR (PHFS-HVaR — Hesitant Value-at-Risk for Probabilistic Hesitant Fuzzy Sets (Zhou-Xu 2017)) is a ranking multi-criteria decision-making (MCDM) method introduced by Zhou, W. Xu, Z. in 2017. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PIF-ARAS (PiF-ARAS — Picture Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PIF-ARTASI (Picture Fuzzy ARTASI (Kara et al. 2024)) is a ranking multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible resu
PIF-CIMAS (Picture Fuzzy variant of CIMAS (Kara et al. 2024)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured
PIF-CIMAS-ARTASI (Hybrid Picture Fuzzy weighting (CIMAS) + ranking (ARTASI)) is a hybrid multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a struct
PIF-CODAS (PiF-CODAS — Picture extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PIF-COPRAS (PiF-COPRAS — Picture extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C. in 2013. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
PIF-DOMBI (Picture Fuzzy Dombi Aggregation Operators for MADM (Jana, Senapati, Pal & Yager 2019)) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Jana, C. Senapati, T. Pal, M. Yager, R. R. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structur
PIF-EDAS (PiF-EDAS — Picture extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.